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ENERGY-EFFICIENT RELAYING VIA STORE-CARRY AND
FORWARD WITHIN THE CELL
ABSTRACT:
In this paper, store-carry and forward (SCF) decision policies for relaying within the cell
are developed. The key motivation of SCF relaying stems from the fact that energy
consumption levels can be dramatically reduced by capitalizing on the inhe rent mobility of
nodes and the elasticity of Inte rnet applications of relay nodes can be incorporated as an
additional resource in the system to achieve savings in the required communication energy
levels.
We provide a mathematical programming formulation on the aforementioned problem and
find optimal routing and scheduling policies to achieve maximum energy savings. By
investigating structural properties of the proposed mathematical program we show that
optimal solutions can be computed efficiently in time.
The tradeoffs between energy and delay in the system are meticulously studied and Pareto
efficient curves are derived. Numerical investigations show that the achievable energy gains
by judiciously storing and carrying information from mobile relays can grow well above 70

2. percent for the macrocell scenario when compared to a baseline multihop wireless relaying
scheme that uses shortest path routes to the base station.
Existing System:
In this paper, store-carry and forward (SCF) decision policies for relaying within the cell
are developed. The key motivation of SCF relaying stems from the fact that energy
consumption levels can be dramatically reduced by capitalizing on the inhe rent mobility of
nodes and the elasticity of Inte rnet applications of relay nodes can be incorporated as an
additional resource in the system to achieve savings in the required communication energy
levels.
Proposed System:
We provide a mathematical programming formulation on the aforementioned problem and
find optimal routing and scheduling policies to achieve maximum energy savings. By
investigating structural properties of the proposed mathematical program we show that
optimal solutions can be computed efficiently in time.
The tradeoffs between energy and delay in the system are meticulously studied and Pareto
efficient curves are derived. Numerical investigations show that the achievable energy gains
by judiciously storing and carrying information from mobile relays can grow well above 70
percent for the macrocell scenario when compared to a baseline multihop wireless relaying
scheme that uses shortest path routes to the base station.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)

3.  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.