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Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46

RESEARCH ARTICLE

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OPEN ACCESS

Review Paper on Flooding Attack in MANET
Ruchita Meher, Seema Ladhe
Computer engineering, MGMCET kamothe Navi Mumbai, India
Computer engineering, MGMCET kamothe Navi Mumbai, India

Abstract
Mobile ad-hoc network (MANET) is widely applicable in various areas like military services, civilian
environments and emergency operations. The issues in MANET are broadcasting, clustering, mobility
management, bandwidth management and power management. Broadcasting becomes an important issue in
MANET for route information discovery. The different routing attacks in MANET are flooding, black hole, link
spoofing and wormhole attack. In this paper we are representing works proposed by various author on flooding
attack. Our contribution in this paper is that we have presented details comparison of various counter based
schemes.
Keywords: Broadcasting, Black hole, Flooding, MANET

I. Introduction
In Mobile ad-hoc network (MANET), each
mobile terminal is an autonomous node. Hence, it
worked as both host and router. MANET acts as light
weighted terminal with less CPU processing
capability, small memory size and less power storage.
MANET does not provide centralized control.
MANET distributes the control and management of
the network among the nodes. Since the nodes are
mobile, the network topology may change quickly and
MANET acts as a dynamic network topology.
Since MANET allows the devices to maintain
connection and also to add or remove the node from
the network, it can easily used in the military
battlefield to maintain the information network
between the solider and vehicle as well as in
commercial sector such as disaster relief effort for eg.
Fire, flood or earthquake, etc. MANET is also used in
personal area networking. MANET has some
limitations like limited resources and physical
security. It is also hard to detect the malicious node
because of its volatile network topology.
There are some major issues involving in
MANET such as broadcasting, clustering, mobility
management, bandwidth management and power
management. In this paper, we mainly focus on
broadcasting since it involves the fluctuation of the
signal strength and propagation with respect to time
and environment. Due to mobile nature of nodes there
is frequent change in topology which results in break
of routing path hence broadcasting is used to discover
neighbour and new path. For eg. Protocol such as
AODV(Ad Hoc on Demand vector), DSR(Dynamic
Source Routing), ZRP(Zone Routing protocol) and
LAR(Location Aided Routing) use broadcasting to
establish routes. Broadcasting in MANET is also
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important for providing the control and routing
information for multicast and unicast protocol.
Broadcasting in MANET usually based on
flooding in which source node sends a packet to its
entire neighbourhood node. In broadcasting, each
node receiving a broadcast packet and same will be
simply re-transmits it to all its neighbours. Hence, we
can say that broadcasting by flooding is usually very
costly which results in serious transmission
redundancy, contention and collisions in the network
such a situation is referred to as the broadcast storm
problem.
Various works on broadcasting has been done
by many researchers. This paper gives the summary of
all these work. Main contribution of this paper is we
give detail comparison of various counter based
schemes using neighbourhood information to achieve
good performance in MANETs and reduce the
broadcast storm problem.

II. Broadcasting in MANET
Broadcasting in MANET is the process
where source node sends a message to all other node
within its transmission radius. Sending a message to
other hosts in the network is broadcast problem.
Broadcasting is spontaneous operation which
can issue broadcast message at any time which result
lack of synchronization and broadcasting is unreliable
because there is no acknowledgement procedure as
acknowledgement may cause additional contention.
Broadcast storm problem causes by flooding
when a host receive broadcast message for the first
time which has to be rebroadcasted but while
rebroadcasting there should be following situation
Redundant rebroadcast at the time to rebroadcast a
broadcast message in mobile host already has the
message.
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Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
Contention. At the same time the host will
rebroadcast message to its neighbour then they
contend with each other.
Collision. Collision is more likely to occur and cause
more damage.
Broadcasting has many uses in MANET
protocols such as finding a route to particular host
using route discovery in routing protocols. E.g.
MANET routing protocols such as Dynamic Source
Routing (DSR), Ad Hoc on Demand Distance Vector
(AODV), Zone Routing Protocol (ZRP), and Location
Aided Routing (LAR) use broadcasting to establish
routes. Following are the different Broadcasting
schemes to solve broadcast storm problem are
Probabilistic scheme which rebroadcast
packet with fixed probability p, Counter-based scheme
which rebroadcast a number of received duplicate
packets which is less than a threshold value, Distancebased scheme use distance between nodes to make the
decision, Location-based scheme which gives location
information of neighbors and Neighbor Based scheme
which is a Cluster-based and selecting, forwarding
neighbours.

III. Classification of MANET Protocol
Since MANETs has been in an active
research area and in recent years many routing
protocols have been introduced. A routing protocol
specifies the communication which is carried out
between the routers. The choice of that route selection
is done by the routing algorithm. These main routing
protocols are divided into 3 categories Reactive protocols/On-demand
 Proactive protocols/Table driven
 Hybrid protocols

Fig1. Classification of MANET routing protocol
A. Reactive protocols
Reactive protocols also called as on demand
driven protocols because they discover route only
when it is on demand. It only establishes the route
when source node in the network wants to send a
message or a packet to destination node. The main
thing of this protocol is that it reduces routing table
when it is overflow but the bad thing is that longer
delay has been seen as it is on demand The example of
this type of protocol are DSR (dynamic source
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routing), AODV (ad hoc on demand distance vector
routing), LAR (location aided routing), TORA
(temporally ordered routing algorithm).
1. Ad-Hoc on Demand Distance Vector Protocol
(AODV): AODV is commonly used reactive protocol
in MANET. It establishes a route to a destination only
on demand i,e node does not discover and maintain
route until it demand. It is also a distance-vector
routing protocol. AODV uses three main messages to
determine a route they are RREQ, RREP, and RERR
as follows:
Route Request Message (RREQ):
When a source node wants to communicate
with another node, but does not have a route to reach
that node Source node broadcasts a route request
(RREQ) packet to all of its neighbors. The source
creates an RREQ packet contains the source node IP
address, current sequence number, destination IP
address, last known destination sequence number , a
broadcast ID , which is incremented with each RREQ
and a Hop Count field.
Route Reply Message (RREP):
If a node receives an RREQ packet and it has
a route to the target destination, then it unicast a
route reply packet (RREP) to the neighbor that sent
the RREQ packet. route reply message packet for the
source include IP address , sequence number & hops
to source and IP of neighbor from RREQ received
Route Error Message (RERR):
When the packet is not reached to the
destination node or the link break happens then the
host delete the route from the routing table and send
the route error (RERR) message to the corresponding
neighbors.

Fig 2. RREQ Packet

Fig.3 RREP Packet

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Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
2. Dynamic source Routing (DSR):It is a reactive
protocol that generates a route on demand using
source routing protocol. In Dynamic Source Routing,
each source determines the route to be used in
transmitting its packets to selected destinations. This
protocol floods a route request message in the network
to establish a route and there are two main
components, called Route Discovery and Route
Maintenance.
Route
Discovery:
Route
Discovery
determines the optimum path for a transmission
between a given source and destination. It is an ondemand routing protocol, so to discover a route source
node S need a route to destination node D first it
broadcast RREQ packet then if Node A receive packet
but has no route to D then it will rebroadcast packet by
adding its address to source route then node C will
receive RREQ but has no route to D again it will
rebroadcast by adding address then Node D receive
RREQ packet then it unicast RREP to Node C putting
D in RREP source route as shown below:.

Fig. 4 Route discovery
Route Maintenance:
When communication starts, its responsibility
of every node which is mentioned in the path that its
next hop node
should receive the data with path in
the header
B.Proactive Protocol:
Proactive protocols are also called as table
driven routing protocol because they maintain the
routing table of the entire network. In proactive each
node has to maintain its tables for storing routing
information and also update the table i,e changes is
done whenever the network changes. If any changes
in topology as each node will send a broadcast
message to entire network so it will affect the routing
table for maintaining the routing entries. For large
network proactive routing protocol not be suggested
because for each node maintaining the table causes
more bandwidth consumption and overload to routing
table .the examples of proactive routing protocol are
DSDV (destination sequence distance vector) and
OLSR (optimised link state routing).
1. DSDV: The Destination-Sequenced DistanceVector (DSDV) routing protocol based on the
Bellman-Ford algorithm. In which each node
maintains a routing table which stores next hop,
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destination and a sequence number that is created by
the destination itself. In DSDV each node increment
and add its sequence number periodically while
forwarding routing table to its neighbors.
2. OLSR: The OLSR protocol is more efficient in
networks with high density and high rarely traffic but
the situation is when it is used in between a large
number of hosts. OLSR requires that it continuously
have some bandwidth in order to receive the topology
updates messages.
C. Hybrid protocols
It is a combination of both reactive and
proactive routing protocols. To overcome the
weakness of reactive and proactive routing protocol
the hybrid is mostly used. In hybrid routing protocol
network is divided into zones. It is the most suitable
routing protocol amongst all. The examples of hybrid
protocols are ZRP (zone routing protocol), ZHLS
(zone based hierarchical state).
IV. Various Attacks in MANET
Attack in MANET can be classified as
A. Active Attacks
Active attacks are the attacks in which
attacker tries to disturb the performance of the
network and also involves by modifying the data
stream or creation of fake stream .Active attacks can
be internal or external Internal Attack: Internal attack
is from cooperate nodes which are actually part of the
network.
External Attack: External attack carried out
by node that does not belong to the domain of the
network.
1. Black hole attack: The black hole attack is an active
attack. It has two properties First is attacker sends fake
routing information, declaring that it has the valid
route from source to the destination, due to which
other nodes in the network route the data packets
through the malicious node. Second, malicious node
targets the routing packets, drops them instead of
normally forwarding them.
The Figure is an example of black hole attack
in the mobile ad hoc networks was source node A and
F represents the destination node. Node B is a
misbehaviour node who replies the RREQ packet
which is sent from source node, and makes a fake
response that it has the shortest route to the destination
node. Therefore source node incorrectly looks towards
the route discovery process with completion, and
starts to send data packets to node B. In the mobile ad
hoc networks, a malicious node i,e node B probably
drops the packets which is send by source node. So
this misguiding node can be regarded as a black hole
problem in MANETs.
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ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46

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then repeat them into the network from that location..
This tunnel between two colluding attacks is known as
a wormhole In DSR, AODV this attack could prevent
discovery of any routes and may create a wormhole
even for packet not address to itself because of
broadcasting. Wormholes are hard to detect because
the path that is used is not part of the actual network.

Destinati
Fig 5 Black hole Attack [11]
2. Flooding attack: Flooding Attack can be begin by
flooding the network with fake RREQ or data packet
leading to the blocking of the network and reduces the
probability of data transmission of the real node
.Depending upon which type of packet used to flood
in the network .it is classified into three categories are
HELLO FLOODING,RREQ FLOODING And DATA
FLOODING.
HELLO FLOODING: Some routing protocols in
wireless network require nodes to broadcast hello
messages to announce themselves to their neighbours.
A node which receives such a message may assume
that it is within a range of the sender. Some
misbehaving nodes in the network flood the Hello
packet continuously. Without maintaining the hello
interval. It creates the disturbances in the network
operation. This activity diverts the legitimate node’s
action in the network. Figure 6 shows the hello
flooding in the network.

Fig 6 Hello Flooding attack [9]
RREQ FLOODING: In this type of flooding attack,
the attacker broadcast many RREQ packets for the
node which exist or not exist in the network. TO
perform RREQ flooding the
intruder disable the
RREQ rate so it will effect on to consumes network
Bandwidth.
DATA FLOODING: In Data flooding data packet are
used to flood the network. In this flooding malicious
node builds a path to all the nodes then send the large
amount of fake data packet and this fake data packet
fail the network resources so it will very hard to
detect.
3. Wormhole Attack: In a wormhole attack, an attacker
receives packets from one location in the network,
tunnel” them to another location in the network, and
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attacker attacker
Fig. 7 Wormhole attack [ 11]
4. Denial of service attack: The goal of a denial of
service attack is to reject valid user’s access to a
particular resource. In a DoS attack, the attacker
usually sends excessive messages asking the network
or server to authenticate requests that have invalid
return addresses. The network or server will not be
able to find the return address of the attacker when
sending the authentication approval, causing the server
to wait before closing the connection. When the server
closes the connection, the attacker sends more
authentication messages with invalid return addresses.
Hence, the process of authentication and server wait
will begin again, keeping the network or server busy.
5. Gray-hole attack:This attack is also known as
routing misbehaviour attack which show the way to
dropping of messages. Gray hole attack has two
phases .In the first phase the node itself advertise
having a valid route to destination while in second
phase, nodes drops interrupt packets within a certain
probability As soon as it receive the packet from
neighbor the attacker drop the packet.
6. Byzantine Attack: In this attack an intermediate
node or a set of intermediate nodes work in collusion
and carry out attacks such as creating routing loops,
forwarding packets on non – optimal path which
results in degradation of the routing system.
7. Selfish Nodes: In this selfish node is not helping to
communicate with other nodes which are taking part
in the network. But malicious node which is not
taking part in network operations, use the network for
its advantage to save its own resources.
B. PASSIVE ATTACKS
A passive attack is an attack categorized by
the attacker listening in on communication. In such an

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Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
attack, attacker does not try to break into the system or
otherwise change data.
1. Traffic Monitoring: Traffic monitoring specifies for
MANET and also other wireless network such as
cellular, satellite and WLAN to developed or identify
the communication and functional information for the
launching of attacks.
2. Eavesdropping: The main goal of eavesdropping is
to obtain some confidential information that should be
secret during communication. This confidential
information may include the location of public key or
private key and also the password of the nodes
3. Traffic Analysis: Traffic analysis is a passive attack
used to increase the information from which node can
communicate with each other and also how data
should process.

V. Various Approaches Used To
Overcome From Broadcast Storm
Problem (Flooding Attack)
A. CBS: Counter-based broadcast Scheme in Mobile
ad hoc networks. [3]
A counter based scheme has been suggested
to reduce the redundant rebroadcast and alleviating
broadcast storm problem..This research proposes
counter based algorithm that dynamically adjust the
counter threshold value using neighbourhood
information Counter based scheme is one of the
broadcasting technique in MANET. In CBS when we
receiving a message a counter c is set to keep track of
number of duplicate messages received, counter
threshold C is chosen and Random Assessment Delay
(RAD) timer is set. Initially set counter c as1.When
the RAD timer expires the counter is tested against a
fixed threshold value C, if counter is greater than or
equal to threshold C then the broadcasting should stop
otherwise proceed.
This method gives fixed threshold value so it scores
high efficiency only when used with uniform density
networks; when the network is sparse a high threshold
is used and when dense low threshold value
B. ACBS: Adaptive counter-based Scheme in Mobile
Ad hoc network [4]
As we know that threshold value is based on
local connectivity information so when topology of
MANET change Individual host can also changes so it
dynamically adjust own threshold value based on its
neighbour status. So it extends fixed threshold c into
function Threshold = C(n) where n is the number of
neighbors . The function C(n) is undefined yet. In this
paper we have extend threshold value. Adaptive
counter-based scheme uses the extended fixed
threshold C into a function C(n), where n is the
number of neighbours of the host. Thus, each host will
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use a threshold C(n) depending on its current value of
n it determine whether to rebroadcast or not. The
Execution of the algorithm is same as that of fixed
counter based only we will check the counter value c
with C(n) i,e if counter c is less than C(n) then it
resume for rebroadcast otherwise cancel the
transmission.
This method only maintain the records of a
packet rebroadcast status packet for every node by
considering threshold value but node can be in sparse
or dense network this situation is not considered in
this paper.
C. NCBS: New Counter Based Broadcast scheme in
Mobile ad-hoc network [5]
The New Counter-Based (NCB) uses the
average number of neighbour to dynamically adjust
the threshold value to adjust in either sparse or dense
network. The Algorithm is based on a counter c that is
used to keep track of the number of times the
broadcast packet is received. A counter threshold is
decided based on neighbouring information..
Whenever c is greater than or equal to the threshold,
the rebroadcast is inhibited. It dynamically adjusts the
counter based threshold value c at each mobile host
according to the value of the local number of
neighbours. The value of c changes when the host
moves to a different neighbourhood. In a sparser area,
the counter based threshold value c is smaller and in
denser area, the counter based threshold value c is
larger. We present an estimate of average neighbour
number as the basis for the selection of the value of c.
Let A be the area of an ad hoc network, N be the
number of mobile hosts in the network, and R be the
transmutation range. The average number of
neighbour n’can be obtained
n’=( N-1)0.8*II2/A
In addition, when integrated in the Ad hoc
On-Demand Distance Vector (AODV) routing
protocol, NCB will perform better than both standard
and fixed counter-based AODV protocols. In this
method Only average no. of nodes can consider which
can not be sufficient for rebroadcasting.

[10]
D. HACB: Highly Adjusted Counter-Based
Broadcast scheme in MANET [6]
The Highly Adjusted Counter-Based
(HACB) uses three items of derived neighbourhood
information the maximum, the minimum in addition to
the average number of neighbours to dynamically
adjust the threshold value. HACB is better than ACB
43 | P a g e
Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
however, perhaps with an added complexity. In
HACB algorithm based on counter c that is used to
keep track of no. of times the broadcast packet is
received, A counter threshold decided based on
neighbouring information that is in sparse network
threshold is c1 and for medium and dense threshold
value is c2 and c3 respectively. In this algorithm we
are considering the min threshold value n1and
maximum threshold value n2 so by comparing the no.
of neighbour (n) to minvalue n1. If( n<n1) then
network is in sparse area else if it is in between n1 and
n2 then network is in medium area else if( n>n2) then
the network is in dense area so from this algorithm we
are rebroadcasting no. of packet in particular area to
form a route. Min and Max value are not specified so
exact no. of neighbour cannot be concluded and also
No acknowledgement from nodes while receiving
packet from the node.

[10]
E. Dynamic Probabilistic Counter-Based Scheme in
MANET[7]
DPCBS is the Combination of counter based
and probability based broadcasting scheme. In DPCBS
we first initiate a counter c that records the number of
times a node receives the same packet. Such a counter
should maintained by each node for each broadcast
packet. After waiting for a random assessment delay
(RAD) time which is randomly chosen from a uniform
distribution between 0 and Tmax seconds, where
Tmax is the highest possible delay interval, if c
reaches a predefined threshold C, the packet is
rebroadcast with a low rebroadcast probability P1 (the
node is in dense area). Otherwise, the packet is
rebroadcast with a high rebroadcast probability P2
(where P1 < P2, and therefore the node is in sparse
area). DPCBS adjusts the forwarding probability
dynamically by the use of the function f(c) which is
defined
F(c) = { e-(c/C)
; c<=C
` F(c) = {e-(c+1/C)
; otherwise

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In this method we are investigating the
performance of these broadcasting algorithms in real
applications, such as route discovery process is
lacking. As we are calculating the probability but
exactly no. of nodes to be rebroadcast is still missing it
which gives the possibility value.
F. PCB: Position-aware counter-based broadcast for
MANET [8]
It is a combination of position based and
counter-based schemes. In PCB, each node is able to
make a local decision about whether to rebroadcast,
according to its adaptive EAC threshold and counter
threshold. whenever a node rebroadcasts a packet it
adds its own GPS address (X, Y, Z) to the header of
the packet. When a node receives a packet, it notes the
location of the sender and calculates EAC. Here we
introduce a new mechanism of two-tier threshold of
EAC. That is if the EAC is less than the first tier
threshold value Vth1, the node will not rebroadcast,
and all future the same packet will be ignored.
Otherwise, compare EAC with the second tier
threshold value Vth2 to assign an appropriate RAD to
the node before delivery. At the same time, initiate a
counter C to one. The EAC calculation and threshold
comparison occur with all redundant broadcasts
received before its RAD expires. Increase C by 1 only
when calculated EAC of packet is larger than Vth1.
When the RAD expires the counter is checked against
the threshold value Cth (Ch or Cl which is set
differently from one node for a given EAC. If the
counter is less than or equal to the threshold, the
packet is rebroadcast. Otherwise, it is simply dropped.
In this method we are calculating the EAC of
node and from that we are getting the transmission
range of a node to rebroadcast a packet but not exactly
the no. of nodes. It demands accurate neighbourhood
information and cannot ensure the coverage with
outdated topology information

VI. Comparison Of Various Counter
Based Broadcast Scheme
In this section table summarizes the brief
comparison between various counter based
broadcasting schemes on the basis of parameters like
counter methods, tool used, its Reachability, Saving
rebroadcast and its drawback.

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Ruchita Meher et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
Table 1 Summary of various counter based broadcast scheme
Paper
Method
Tools
Reach ability
Saving
Used
[RE]
Rebroadcast
counter-based
Threshold is
scheme[3]
RAD timer
NO
RE will be poor
larger value
SR degrade
Adaptive
Threshold
RE is always at
counter-based
=
NO
high level
SR is significant
Scheme[4]
C(n)
New
Counter
Based Broadcast
scheme[5]

Average
no.
of
nodes

NO

Highly Adjusted
Counter-Based
(HACB)
Broadcast[6]

Max and
Min no. of
neighbours

NO

DP Counter
Based Scheme
[7]

Combinati
on
of
probability
based and
counter
based

PCB broadcast
Scheme[8]

Combinati
on
of
counter
based and
position
based

RE will be poor

Threshold is
large redundant
rebroadcasts
will be
generated.

(T*r/)100

NO

(r-t)/r

(T*r/)100

(r-t)/r

GPS
r/e

(r-t)/r

T-total no. of nodes, r-no. of receive node , e- no. of reachable node,

VII.

Conclusion

[2]

In this paper we focus on various
approaches to overcome flooding attack using
different counter based broadcasting scheme. These
schemes are effective for developing appropriate
threshold value so that node will rebroadcast packet
to its neighbours and form a route and also increases
the reachability, save rebroadcasting and average
latency. The result of our implementation show better
impact to overcome flooding attack.

[3]

References

[4]

[1]

Y.-C. Tseng, S.-Y. Ni, and E.-Y. Shih,
"Adaptive approaches to relieving broadcast
storms in a wireless multihop ad hoc
networks”, IEEE
TRANSACTION ON
COMPUTERS, VOL. 52, PP. 545-557,
2003.

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Drawback

Threshold is constant

Neighbourhood density sparse
and dense area is not
considered
Average no. of nodes cannot
be sufficient for finding
neighbour

Min and Max values are not
specified for finding neighbour

Probability is calculated but
nodes to be rebroadcast will
not gives the possibility value.

.
High number of control
messages exchanged to
broadcast one packet coverage

t- no. of host transmit packet

Wei Lo and Jie Wu, “On Reducing
Broadcast Redundancy in Ad Hoc Wireless
Networks”. IEEE TRANSACTIONS ON
MOBILE COMPUTING, VOL. 1, NO. 2,
APRIL-JUNE 2002.
B. Williams, T. Camp, “Comparison of
broadcasting techniques for mobile ad hoc
networks”.(MOBIHOC 2002).PROCEDING
OF ACM
INTERNATIONAL
SYMPOSIUM ON MOBILE AD-HOC
NETWORKING. PP.194-205,2002.
Y.-C. Tseng, S.-Y. Ni, and E.-Y. Shih,
“Adaptive
Approaches to Relieving
Broadcast Storms in a wireless multihop
mobile
ad
hoc
network”.
IEEE
TRANSACTIONS ON COMPUTERS,
VOLUME52 (5),PAGES 545-557,MAY
2003..

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ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46
[5]

[6]

[7]

[8]

[9]
[10]

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M. Bani yassein, S. Al-Humoud, M. Ould
Khaoua and L. M. Mackenzie, “New
Counter based Broadcast Scheme using
local
Neighborhood
Information
in
MANETs.”
M. Bani yassein, A. Al-Dubai, M. Ould
Khaoua, Omar M. Al-jarrah, “New Adaptive
counter
based
Broadcast
Using
Neighborhood Information in MANET’s”.,
IEEE 2009.
M, M. Khaoua, “Dynamic Probablistic
Counterbased
Broadcasting
in
MANET”,IEEE 2010.
Xiaoman Wu, Yilan Yang, JieLiu, Yue Wu,
Fasheng Yi, “Position-aware counter-based
broadcast for MANET’s.” IEEE 2010.
The
Network
Simulator
ns2,http://www.isi.edu/nsnam/ns/ns-man.html
Q. Zhang and D. P. Agrawal, "Dynamic
Probabilistic Broadcasting in MANETs,"
JOURNAL
OF
PARALLEL
AND
DISTRIBUTED COMPUTING, VOL.
65,PP. 220-233, 2005.

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  • 1. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 RESEARCH ARTICLE ww.ijera.com OPEN ACCESS Review Paper on Flooding Attack in MANET Ruchita Meher, Seema Ladhe Computer engineering, MGMCET kamothe Navi Mumbai, India Computer engineering, MGMCET kamothe Navi Mumbai, India Abstract Mobile ad-hoc network (MANET) is widely applicable in various areas like military services, civilian environments and emergency operations. The issues in MANET are broadcasting, clustering, mobility management, bandwidth management and power management. Broadcasting becomes an important issue in MANET for route information discovery. The different routing attacks in MANET are flooding, black hole, link spoofing and wormhole attack. In this paper we are representing works proposed by various author on flooding attack. Our contribution in this paper is that we have presented details comparison of various counter based schemes. Keywords: Broadcasting, Black hole, Flooding, MANET I. Introduction In Mobile ad-hoc network (MANET), each mobile terminal is an autonomous node. Hence, it worked as both host and router. MANET acts as light weighted terminal with less CPU processing capability, small memory size and less power storage. MANET does not provide centralized control. MANET distributes the control and management of the network among the nodes. Since the nodes are mobile, the network topology may change quickly and MANET acts as a dynamic network topology. Since MANET allows the devices to maintain connection and also to add or remove the node from the network, it can easily used in the military battlefield to maintain the information network between the solider and vehicle as well as in commercial sector such as disaster relief effort for eg. Fire, flood or earthquake, etc. MANET is also used in personal area networking. MANET has some limitations like limited resources and physical security. It is also hard to detect the malicious node because of its volatile network topology. There are some major issues involving in MANET such as broadcasting, clustering, mobility management, bandwidth management and power management. In this paper, we mainly focus on broadcasting since it involves the fluctuation of the signal strength and propagation with respect to time and environment. Due to mobile nature of nodes there is frequent change in topology which results in break of routing path hence broadcasting is used to discover neighbour and new path. For eg. Protocol such as AODV(Ad Hoc on Demand vector), DSR(Dynamic Source Routing), ZRP(Zone Routing protocol) and LAR(Location Aided Routing) use broadcasting to establish routes. Broadcasting in MANET is also www.ijera.com important for providing the control and routing information for multicast and unicast protocol. Broadcasting in MANET usually based on flooding in which source node sends a packet to its entire neighbourhood node. In broadcasting, each node receiving a broadcast packet and same will be simply re-transmits it to all its neighbours. Hence, we can say that broadcasting by flooding is usually very costly which results in serious transmission redundancy, contention and collisions in the network such a situation is referred to as the broadcast storm problem. Various works on broadcasting has been done by many researchers. This paper gives the summary of all these work. Main contribution of this paper is we give detail comparison of various counter based schemes using neighbourhood information to achieve good performance in MANETs and reduce the broadcast storm problem. II. Broadcasting in MANET Broadcasting in MANET is the process where source node sends a message to all other node within its transmission radius. Sending a message to other hosts in the network is broadcast problem. Broadcasting is spontaneous operation which can issue broadcast message at any time which result lack of synchronization and broadcasting is unreliable because there is no acknowledgement procedure as acknowledgement may cause additional contention. Broadcast storm problem causes by flooding when a host receive broadcast message for the first time which has to be rebroadcasted but while rebroadcasting there should be following situation Redundant rebroadcast at the time to rebroadcast a broadcast message in mobile host already has the message. 39 | P a g e
  • 2. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 Contention. At the same time the host will rebroadcast message to its neighbour then they contend with each other. Collision. Collision is more likely to occur and cause more damage. Broadcasting has many uses in MANET protocols such as finding a route to particular host using route discovery in routing protocols. E.g. MANET routing protocols such as Dynamic Source Routing (DSR), Ad Hoc on Demand Distance Vector (AODV), Zone Routing Protocol (ZRP), and Location Aided Routing (LAR) use broadcasting to establish routes. Following are the different Broadcasting schemes to solve broadcast storm problem are Probabilistic scheme which rebroadcast packet with fixed probability p, Counter-based scheme which rebroadcast a number of received duplicate packets which is less than a threshold value, Distancebased scheme use distance between nodes to make the decision, Location-based scheme which gives location information of neighbors and Neighbor Based scheme which is a Cluster-based and selecting, forwarding neighbours. III. Classification of MANET Protocol Since MANETs has been in an active research area and in recent years many routing protocols have been introduced. A routing protocol specifies the communication which is carried out between the routers. The choice of that route selection is done by the routing algorithm. These main routing protocols are divided into 3 categories Reactive protocols/On-demand  Proactive protocols/Table driven  Hybrid protocols Fig1. Classification of MANET routing protocol A. Reactive protocols Reactive protocols also called as on demand driven protocols because they discover route only when it is on demand. It only establishes the route when source node in the network wants to send a message or a packet to destination node. The main thing of this protocol is that it reduces routing table when it is overflow but the bad thing is that longer delay has been seen as it is on demand The example of this type of protocol are DSR (dynamic source www.ijera.com ww.ijera.com routing), AODV (ad hoc on demand distance vector routing), LAR (location aided routing), TORA (temporally ordered routing algorithm). 1. Ad-Hoc on Demand Distance Vector Protocol (AODV): AODV is commonly used reactive protocol in MANET. It establishes a route to a destination only on demand i,e node does not discover and maintain route until it demand. It is also a distance-vector routing protocol. AODV uses three main messages to determine a route they are RREQ, RREP, and RERR as follows: Route Request Message (RREQ): When a source node wants to communicate with another node, but does not have a route to reach that node Source node broadcasts a route request (RREQ) packet to all of its neighbors. The source creates an RREQ packet contains the source node IP address, current sequence number, destination IP address, last known destination sequence number , a broadcast ID , which is incremented with each RREQ and a Hop Count field. Route Reply Message (RREP): If a node receives an RREQ packet and it has a route to the target destination, then it unicast a route reply packet (RREP) to the neighbor that sent the RREQ packet. route reply message packet for the source include IP address , sequence number & hops to source and IP of neighbor from RREQ received Route Error Message (RERR): When the packet is not reached to the destination node or the link break happens then the host delete the route from the routing table and send the route error (RERR) message to the corresponding neighbors. Fig 2. RREQ Packet Fig.3 RREP Packet 40 | P a g e
  • 3. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 2. Dynamic source Routing (DSR):It is a reactive protocol that generates a route on demand using source routing protocol. In Dynamic Source Routing, each source determines the route to be used in transmitting its packets to selected destinations. This protocol floods a route request message in the network to establish a route and there are two main components, called Route Discovery and Route Maintenance. Route Discovery: Route Discovery determines the optimum path for a transmission between a given source and destination. It is an ondemand routing protocol, so to discover a route source node S need a route to destination node D first it broadcast RREQ packet then if Node A receive packet but has no route to D then it will rebroadcast packet by adding its address to source route then node C will receive RREQ but has no route to D again it will rebroadcast by adding address then Node D receive RREQ packet then it unicast RREP to Node C putting D in RREP source route as shown below:. Fig. 4 Route discovery Route Maintenance: When communication starts, its responsibility of every node which is mentioned in the path that its next hop node should receive the data with path in the header B.Proactive Protocol: Proactive protocols are also called as table driven routing protocol because they maintain the routing table of the entire network. In proactive each node has to maintain its tables for storing routing information and also update the table i,e changes is done whenever the network changes. If any changes in topology as each node will send a broadcast message to entire network so it will affect the routing table for maintaining the routing entries. For large network proactive routing protocol not be suggested because for each node maintaining the table causes more bandwidth consumption and overload to routing table .the examples of proactive routing protocol are DSDV (destination sequence distance vector) and OLSR (optimised link state routing). 1. DSDV: The Destination-Sequenced DistanceVector (DSDV) routing protocol based on the Bellman-Ford algorithm. In which each node maintains a routing table which stores next hop, www.ijera.com ww.ijera.com destination and a sequence number that is created by the destination itself. In DSDV each node increment and add its sequence number periodically while forwarding routing table to its neighbors. 2. OLSR: The OLSR protocol is more efficient in networks with high density and high rarely traffic but the situation is when it is used in between a large number of hosts. OLSR requires that it continuously have some bandwidth in order to receive the topology updates messages. C. Hybrid protocols It is a combination of both reactive and proactive routing protocols. To overcome the weakness of reactive and proactive routing protocol the hybrid is mostly used. In hybrid routing protocol network is divided into zones. It is the most suitable routing protocol amongst all. The examples of hybrid protocols are ZRP (zone routing protocol), ZHLS (zone based hierarchical state). IV. Various Attacks in MANET Attack in MANET can be classified as A. Active Attacks Active attacks are the attacks in which attacker tries to disturb the performance of the network and also involves by modifying the data stream or creation of fake stream .Active attacks can be internal or external Internal Attack: Internal attack is from cooperate nodes which are actually part of the network. External Attack: External attack carried out by node that does not belong to the domain of the network. 1. Black hole attack: The black hole attack is an active attack. It has two properties First is attacker sends fake routing information, declaring that it has the valid route from source to the destination, due to which other nodes in the network route the data packets through the malicious node. Second, malicious node targets the routing packets, drops them instead of normally forwarding them. The Figure is an example of black hole attack in the mobile ad hoc networks was source node A and F represents the destination node. Node B is a misbehaviour node who replies the RREQ packet which is sent from source node, and makes a fake response that it has the shortest route to the destination node. Therefore source node incorrectly looks towards the route discovery process with completion, and starts to send data packets to node B. In the mobile ad hoc networks, a malicious node i,e node B probably drops the packets which is send by source node. So this misguiding node can be regarded as a black hole problem in MANETs. 41 | P a g e
  • 4. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 ww.ijera.com then repeat them into the network from that location.. This tunnel between two colluding attacks is known as a wormhole In DSR, AODV this attack could prevent discovery of any routes and may create a wormhole even for packet not address to itself because of broadcasting. Wormholes are hard to detect because the path that is used is not part of the actual network. Destinati Fig 5 Black hole Attack [11] 2. Flooding attack: Flooding Attack can be begin by flooding the network with fake RREQ or data packet leading to the blocking of the network and reduces the probability of data transmission of the real node .Depending upon which type of packet used to flood in the network .it is classified into three categories are HELLO FLOODING,RREQ FLOODING And DATA FLOODING. HELLO FLOODING: Some routing protocols in wireless network require nodes to broadcast hello messages to announce themselves to their neighbours. A node which receives such a message may assume that it is within a range of the sender. Some misbehaving nodes in the network flood the Hello packet continuously. Without maintaining the hello interval. It creates the disturbances in the network operation. This activity diverts the legitimate node’s action in the network. Figure 6 shows the hello flooding in the network. Fig 6 Hello Flooding attack [9] RREQ FLOODING: In this type of flooding attack, the attacker broadcast many RREQ packets for the node which exist or not exist in the network. TO perform RREQ flooding the intruder disable the RREQ rate so it will effect on to consumes network Bandwidth. DATA FLOODING: In Data flooding data packet are used to flood the network. In this flooding malicious node builds a path to all the nodes then send the large amount of fake data packet and this fake data packet fail the network resources so it will very hard to detect. 3. Wormhole Attack: In a wormhole attack, an attacker receives packets from one location in the network, tunnel” them to another location in the network, and www.ijera.com attacker attacker Fig. 7 Wormhole attack [ 11] 4. Denial of service attack: The goal of a denial of service attack is to reject valid user’s access to a particular resource. In a DoS attack, the attacker usually sends excessive messages asking the network or server to authenticate requests that have invalid return addresses. The network or server will not be able to find the return address of the attacker when sending the authentication approval, causing the server to wait before closing the connection. When the server closes the connection, the attacker sends more authentication messages with invalid return addresses. Hence, the process of authentication and server wait will begin again, keeping the network or server busy. 5. Gray-hole attack:This attack is also known as routing misbehaviour attack which show the way to dropping of messages. Gray hole attack has two phases .In the first phase the node itself advertise having a valid route to destination while in second phase, nodes drops interrupt packets within a certain probability As soon as it receive the packet from neighbor the attacker drop the packet. 6. Byzantine Attack: In this attack an intermediate node or a set of intermediate nodes work in collusion and carry out attacks such as creating routing loops, forwarding packets on non – optimal path which results in degradation of the routing system. 7. Selfish Nodes: In this selfish node is not helping to communicate with other nodes which are taking part in the network. But malicious node which is not taking part in network operations, use the network for its advantage to save its own resources. B. PASSIVE ATTACKS A passive attack is an attack categorized by the attacker listening in on communication. In such an 42 | P a g e
  • 5. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 attack, attacker does not try to break into the system or otherwise change data. 1. Traffic Monitoring: Traffic monitoring specifies for MANET and also other wireless network such as cellular, satellite and WLAN to developed or identify the communication and functional information for the launching of attacks. 2. Eavesdropping: The main goal of eavesdropping is to obtain some confidential information that should be secret during communication. This confidential information may include the location of public key or private key and also the password of the nodes 3. Traffic Analysis: Traffic analysis is a passive attack used to increase the information from which node can communicate with each other and also how data should process. V. Various Approaches Used To Overcome From Broadcast Storm Problem (Flooding Attack) A. CBS: Counter-based broadcast Scheme in Mobile ad hoc networks. [3] A counter based scheme has been suggested to reduce the redundant rebroadcast and alleviating broadcast storm problem..This research proposes counter based algorithm that dynamically adjust the counter threshold value using neighbourhood information Counter based scheme is one of the broadcasting technique in MANET. In CBS when we receiving a message a counter c is set to keep track of number of duplicate messages received, counter threshold C is chosen and Random Assessment Delay (RAD) timer is set. Initially set counter c as1.When the RAD timer expires the counter is tested against a fixed threshold value C, if counter is greater than or equal to threshold C then the broadcasting should stop otherwise proceed. This method gives fixed threshold value so it scores high efficiency only when used with uniform density networks; when the network is sparse a high threshold is used and when dense low threshold value B. ACBS: Adaptive counter-based Scheme in Mobile Ad hoc network [4] As we know that threshold value is based on local connectivity information so when topology of MANET change Individual host can also changes so it dynamically adjust own threshold value based on its neighbour status. So it extends fixed threshold c into function Threshold = C(n) where n is the number of neighbors . The function C(n) is undefined yet. In this paper we have extend threshold value. Adaptive counter-based scheme uses the extended fixed threshold C into a function C(n), where n is the number of neighbours of the host. Thus, each host will www.ijera.com ww.ijera.com use a threshold C(n) depending on its current value of n it determine whether to rebroadcast or not. The Execution of the algorithm is same as that of fixed counter based only we will check the counter value c with C(n) i,e if counter c is less than C(n) then it resume for rebroadcast otherwise cancel the transmission. This method only maintain the records of a packet rebroadcast status packet for every node by considering threshold value but node can be in sparse or dense network this situation is not considered in this paper. C. NCBS: New Counter Based Broadcast scheme in Mobile ad-hoc network [5] The New Counter-Based (NCB) uses the average number of neighbour to dynamically adjust the threshold value to adjust in either sparse or dense network. The Algorithm is based on a counter c that is used to keep track of the number of times the broadcast packet is received. A counter threshold is decided based on neighbouring information.. Whenever c is greater than or equal to the threshold, the rebroadcast is inhibited. It dynamically adjusts the counter based threshold value c at each mobile host according to the value of the local number of neighbours. The value of c changes when the host moves to a different neighbourhood. In a sparser area, the counter based threshold value c is smaller and in denser area, the counter based threshold value c is larger. We present an estimate of average neighbour number as the basis for the selection of the value of c. Let A be the area of an ad hoc network, N be the number of mobile hosts in the network, and R be the transmutation range. The average number of neighbour n’can be obtained n’=( N-1)0.8*II2/A In addition, when integrated in the Ad hoc On-Demand Distance Vector (AODV) routing protocol, NCB will perform better than both standard and fixed counter-based AODV protocols. In this method Only average no. of nodes can consider which can not be sufficient for rebroadcasting. [10] D. HACB: Highly Adjusted Counter-Based Broadcast scheme in MANET [6] The Highly Adjusted Counter-Based (HACB) uses three items of derived neighbourhood information the maximum, the minimum in addition to the average number of neighbours to dynamically adjust the threshold value. HACB is better than ACB 43 | P a g e
  • 6. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 however, perhaps with an added complexity. In HACB algorithm based on counter c that is used to keep track of no. of times the broadcast packet is received, A counter threshold decided based on neighbouring information that is in sparse network threshold is c1 and for medium and dense threshold value is c2 and c3 respectively. In this algorithm we are considering the min threshold value n1and maximum threshold value n2 so by comparing the no. of neighbour (n) to minvalue n1. If( n<n1) then network is in sparse area else if it is in between n1 and n2 then network is in medium area else if( n>n2) then the network is in dense area so from this algorithm we are rebroadcasting no. of packet in particular area to form a route. Min and Max value are not specified so exact no. of neighbour cannot be concluded and also No acknowledgement from nodes while receiving packet from the node. [10] E. Dynamic Probabilistic Counter-Based Scheme in MANET[7] DPCBS is the Combination of counter based and probability based broadcasting scheme. In DPCBS we first initiate a counter c that records the number of times a node receives the same packet. Such a counter should maintained by each node for each broadcast packet. After waiting for a random assessment delay (RAD) time which is randomly chosen from a uniform distribution between 0 and Tmax seconds, where Tmax is the highest possible delay interval, if c reaches a predefined threshold C, the packet is rebroadcast with a low rebroadcast probability P1 (the node is in dense area). Otherwise, the packet is rebroadcast with a high rebroadcast probability P2 (where P1 < P2, and therefore the node is in sparse area). DPCBS adjusts the forwarding probability dynamically by the use of the function f(c) which is defined F(c) = { e-(c/C) ; c<=C ` F(c) = {e-(c+1/C) ; otherwise www.ijera.com ww.ijera.com In this method we are investigating the performance of these broadcasting algorithms in real applications, such as route discovery process is lacking. As we are calculating the probability but exactly no. of nodes to be rebroadcast is still missing it which gives the possibility value. F. PCB: Position-aware counter-based broadcast for MANET [8] It is a combination of position based and counter-based schemes. In PCB, each node is able to make a local decision about whether to rebroadcast, according to its adaptive EAC threshold and counter threshold. whenever a node rebroadcasts a packet it adds its own GPS address (X, Y, Z) to the header of the packet. When a node receives a packet, it notes the location of the sender and calculates EAC. Here we introduce a new mechanism of two-tier threshold of EAC. That is if the EAC is less than the first tier threshold value Vth1, the node will not rebroadcast, and all future the same packet will be ignored. Otherwise, compare EAC with the second tier threshold value Vth2 to assign an appropriate RAD to the node before delivery. At the same time, initiate a counter C to one. The EAC calculation and threshold comparison occur with all redundant broadcasts received before its RAD expires. Increase C by 1 only when calculated EAC of packet is larger than Vth1. When the RAD expires the counter is checked against the threshold value Cth (Ch or Cl which is set differently from one node for a given EAC. If the counter is less than or equal to the threshold, the packet is rebroadcast. Otherwise, it is simply dropped. In this method we are calculating the EAC of node and from that we are getting the transmission range of a node to rebroadcast a packet but not exactly the no. of nodes. It demands accurate neighbourhood information and cannot ensure the coverage with outdated topology information VI. Comparison Of Various Counter Based Broadcast Scheme In this section table summarizes the brief comparison between various counter based broadcasting schemes on the basis of parameters like counter methods, tool used, its Reachability, Saving rebroadcast and its drawback. 44 | P a g e
  • 7. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 Table 1 Summary of various counter based broadcast scheme Paper Method Tools Reach ability Saving Used [RE] Rebroadcast counter-based Threshold is scheme[3] RAD timer NO RE will be poor larger value SR degrade Adaptive Threshold RE is always at counter-based = NO high level SR is significant Scheme[4] C(n) New Counter Based Broadcast scheme[5] Average no. of nodes NO Highly Adjusted Counter-Based (HACB) Broadcast[6] Max and Min no. of neighbours NO DP Counter Based Scheme [7] Combinati on of probability based and counter based PCB broadcast Scheme[8] Combinati on of counter based and position based RE will be poor Threshold is large redundant rebroadcasts will be generated. (T*r/)100 NO (r-t)/r (T*r/)100 (r-t)/r GPS r/e (r-t)/r T-total no. of nodes, r-no. of receive node , e- no. of reachable node, VII. Conclusion [2] In this paper we focus on various approaches to overcome flooding attack using different counter based broadcasting scheme. These schemes are effective for developing appropriate threshold value so that node will rebroadcast packet to its neighbours and form a route and also increases the reachability, save rebroadcasting and average latency. The result of our implementation show better impact to overcome flooding attack. [3] References [4] [1] Y.-C. Tseng, S.-Y. Ni, and E.-Y. Shih, "Adaptive approaches to relieving broadcast storms in a wireless multihop ad hoc networks”, IEEE TRANSACTION ON COMPUTERS, VOL. 52, PP. 545-557, 2003. www.ijera.com ww.ijera.com Drawback Threshold is constant Neighbourhood density sparse and dense area is not considered Average no. of nodes cannot be sufficient for finding neighbour Min and Max values are not specified for finding neighbour Probability is calculated but nodes to be rebroadcast will not gives the possibility value. . High number of control messages exchanged to broadcast one packet coverage t- no. of host transmit packet Wei Lo and Jie Wu, “On Reducing Broadcast Redundancy in Ad Hoc Wireless Networks”. IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 1, NO. 2, APRIL-JUNE 2002. B. Williams, T. Camp, “Comparison of broadcasting techniques for mobile ad hoc networks”.(MOBIHOC 2002).PROCEDING OF ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD-HOC NETWORKING. PP.194-205,2002. Y.-C. Tseng, S.-Y. Ni, and E.-Y. Shih, “Adaptive Approaches to Relieving Broadcast Storms in a wireless multihop mobile ad hoc network”. IEEE TRANSACTIONS ON COMPUTERS, VOLUME52 (5),PAGES 545-557,MAY 2003.. 45 | P a g e
  • 8. Ruchita Meher et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp. 39-46 [5] [6] [7] [8] [9] [10] ww.ijera.com M. Bani yassein, S. Al-Humoud, M. Ould Khaoua and L. M. Mackenzie, “New Counter based Broadcast Scheme using local Neighborhood Information in MANETs.” M. Bani yassein, A. Al-Dubai, M. Ould Khaoua, Omar M. Al-jarrah, “New Adaptive counter based Broadcast Using Neighborhood Information in MANET’s”., IEEE 2009. M, M. Khaoua, “Dynamic Probablistic Counterbased Broadcasting in MANET”,IEEE 2010. Xiaoman Wu, Yilan Yang, JieLiu, Yue Wu, Fasheng Yi, “Position-aware counter-based broadcast for MANET’s.” IEEE 2010. The Network Simulator ns2,http://www.isi.edu/nsnam/ns/ns-man.html Q. Zhang and D. P. Agrawal, "Dynamic Probabilistic Broadcasting in MANETs," JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, VOL. 65,PP. 220-233, 2005. www.ijera.com 46 | P a g e