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Dynamic Control of Coding for Progressive Packet Arrivals
in DTNs
ABSTRACT:
In Delay Tolerant Networks (DTNs) the core challenge is to cope with lack of
persistent connectivity and yet be able to deliver messages from source to
destination. In particular, routing schemes that leverage relays’ memory and
mobility are a customary solution in order to improve message delivery delay.
When large files need to be transferred from source to destination, not all packets
may be available at the source prior to the first transmission. This motivates us to
study general packet arrivals at the source, derive performance analysis of
replication based routing policies and study their optimization under two hop
routing. In particular, we determine the conditions for optimality in terms of
probability of successful delivery and mean delay and we devise optimal policies,
so-called piecewise-threshold policies. We account for linear block-codes and rate
less random linear coding to efficiently generate redundancy, as well as for an
energy constraint in the optimization. We numerically assess the higher efficiency
of piecewise-threshold policies compared with other policies by developing
heuristic optimization of the thresholds for all flavors of coding considered.
EXISTING SYSTEM:
Delay Tolerant Networks (DTNs) leverage contacts between mobile nodes and
sustain end-to-end communication even between nodes that do not have end-to-end
connectivity at any given instant. In this context, contacts between DTN nodes
may be rare, for instance due to low densities of active nodes, so that the design of
routing strategies is a core step to permit timely delivery of information to a certain
destination with high probability. When mobility is random, i.e., cannot be known
beforehand, this is obtained at the cost of many replicas of the original information,
a process which consumes energy and memory resources. Since many relay nodes
(and thus network resources) may be involved in ensuring successful delivery, it
becomes crucial to design efficient resource allocation and data storage protocols.
DISADVANTAGES OF EXISTING SYSTEM:
 The core challenge is to cope with lack of persistent connectivity and yet be
able to deliver messages from source to destination.
 The routing schemes that leverage relays’ memory and mobility are a
customary solution in order to improve message delivery delay.
 When large files need to be transferred from source to destination, not all
packets may be available at the source prior to the first transmission.
PROPOSED SYSTEM
This paper focuses on general packet arrivals at the source and two-hop routing.
We distinguish two cases: when the source can overwrite its own packets in the
relay nodes, and when it cannot. The contributions are fourfold:
 For work-conserving policies (i.e., the source sends systematically before
stopping completely), we derive the conditions for optimality in terms of
probability of successful delivery and mean delay.
 In the case of non-overwriting, we prove that the best policies, in terms of
delivery probability, are piecewisethreshold. For the overwriting case, work-
conserving policies are the best without energy constraint, but are
outperformed by piecewise-threshold policies when there is an energy
constraint.
 We extend the above analysis to the case where copies are coded packets,
generated both with linear blockcodes and rateless coding. We also account
for an energy constraint in the optimization.
 We illustrate numerically, in the non-overwriting case, the higher efficiency
of piecewise-threshold policies compared with work-conserving policies by
developing a heuristic optimization of the thresholds for all flavors of coding
considered. As well, in the overwriting case, we show that work-conserving
policies are the best without any energy constraint.
ADVANTAGES OF PROPOSED SYSTEM:
 In DTNs the framework is different since the challenge is to overcome
frequent disconnections. Papers propose a technique to erasure code a file
and distribute the generated code-blocks over a large number of relays in
DTNs, so as to increase the efficiency of DTNs under uncertain mobility
patterns.
 The performance gain of the coding scheme is compared with simple
replication. The benefit of coding is assessed by extensive simulations and
for different routing protocols, including two hop routing.
 The paper addresses the design of stateless routing protocols based on
network coding, under intermittent end-to end connectivity, and the
advantage over plain probabilistic routing is proven.
ALGORITHMS USED:
Algorithm-1 Constructing an optimal WC policy
Algorithm-2 Rateless coding after tK
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.
REFERENCE:
Eitan Altman, Lucile Sassatelli, and Francesco De Pellegrini –“Dynamic Control
of Coding for Progressive Packet Arrivals in DTNs”- IEEE TRANSACTIONS
ON WIRELESS COMMUNICATIONS, VOL. 12, NO. 2, FEBRUARY 2013.

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Dynamic control of coding for progressive packet arrivals in dtns

  • 1. Dynamic Control of Coding for Progressive Packet Arrivals in DTNs ABSTRACT: In Delay Tolerant Networks (DTNs) the core challenge is to cope with lack of persistent connectivity and yet be able to deliver messages from source to destination. In particular, routing schemes that leverage relays’ memory and mobility are a customary solution in order to improve message delivery delay. When large files need to be transferred from source to destination, not all packets may be available at the source prior to the first transmission. This motivates us to study general packet arrivals at the source, derive performance analysis of replication based routing policies and study their optimization under two hop routing. In particular, we determine the conditions for optimality in terms of probability of successful delivery and mean delay and we devise optimal policies, so-called piecewise-threshold policies. We account for linear block-codes and rate less random linear coding to efficiently generate redundancy, as well as for an energy constraint in the optimization. We numerically assess the higher efficiency of piecewise-threshold policies compared with other policies by developing heuristic optimization of the thresholds for all flavors of coding considered.
  • 2. EXISTING SYSTEM: Delay Tolerant Networks (DTNs) leverage contacts between mobile nodes and sustain end-to-end communication even between nodes that do not have end-to-end connectivity at any given instant. In this context, contacts between DTN nodes may be rare, for instance due to low densities of active nodes, so that the design of routing strategies is a core step to permit timely delivery of information to a certain destination with high probability. When mobility is random, i.e., cannot be known beforehand, this is obtained at the cost of many replicas of the original information, a process which consumes energy and memory resources. Since many relay nodes (and thus network resources) may be involved in ensuring successful delivery, it becomes crucial to design efficient resource allocation and data storage protocols. DISADVANTAGES OF EXISTING SYSTEM:  The core challenge is to cope with lack of persistent connectivity and yet be able to deliver messages from source to destination.  The routing schemes that leverage relays’ memory and mobility are a customary solution in order to improve message delivery delay.  When large files need to be transferred from source to destination, not all packets may be available at the source prior to the first transmission.
  • 3. PROPOSED SYSTEM This paper focuses on general packet arrivals at the source and two-hop routing. We distinguish two cases: when the source can overwrite its own packets in the relay nodes, and when it cannot. The contributions are fourfold:  For work-conserving policies (i.e., the source sends systematically before stopping completely), we derive the conditions for optimality in terms of probability of successful delivery and mean delay.  In the case of non-overwriting, we prove that the best policies, in terms of delivery probability, are piecewisethreshold. For the overwriting case, work- conserving policies are the best without energy constraint, but are outperformed by piecewise-threshold policies when there is an energy constraint.  We extend the above analysis to the case where copies are coded packets, generated both with linear blockcodes and rateless coding. We also account for an energy constraint in the optimization.  We illustrate numerically, in the non-overwriting case, the higher efficiency of piecewise-threshold policies compared with work-conserving policies by developing a heuristic optimization of the thresholds for all flavors of coding
  • 4. considered. As well, in the overwriting case, we show that work-conserving policies are the best without any energy constraint. ADVANTAGES OF PROPOSED SYSTEM:  In DTNs the framework is different since the challenge is to overcome frequent disconnections. Papers propose a technique to erasure code a file and distribute the generated code-blocks over a large number of relays in DTNs, so as to increase the efficiency of DTNs under uncertain mobility patterns.  The performance gain of the coding scheme is compared with simple replication. The benefit of coding is assessed by extensive simulations and for different routing protocols, including two hop routing.  The paper addresses the design of stateless routing protocols based on network coding, under intermittent end-to end connectivity, and the advantage over plain probabilistic routing is proven.
  • 7. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.
  • 8. REFERENCE: Eitan Altman, Lucile Sassatelli, and Francesco De Pellegrini –“Dynamic Control of Coding for Progressive Packet Arrivals in DTNs”- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 12, NO. 2, FEBRUARY 2013.