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IEEE Java Projects - Adaptive Opportunistic Routing for Wireless Ad Hoc Networks
Adaptive
Opportunistic Routing for Wireless Ad Hoc Networks
ABSTRACT:
A
distributed adaptive opportunistic routing scheme for multihop wireless ad hoc
networks is proposed. The proposed scheme utilizes a reinforcement learning
framework to opportunistically route the packets even in the absence of
reliable knowledge about channel statistics and network model. This scheme is
shown to be optimal with respect to an expected average per-packet reward criterion.
The proposed routing scheme jointly addresses the issues of learning and
routing in an opportunistic context, where the network structure is
characterized by the transmission success probabilities. In particular, this
learning framework leads to a stochastic routing scheme that optimally “explores”
and “exploits” the opportunities in the network.
EXISTING SYSTEM:
Motivated by classical routing
solutions in the Internet, conventional routing in ad hoc networks attempts to
find a fixed path along which the packets are forwarded. Such fixed-path
schemes fail to take advantage of broadcast nature and opportunities provided
by the wireless medium and result in unnecessary packet retransmissions.
DISADVANTAGES OF EXISTING SYSTEM:
PROPOSED SYSTEM:
In the proposed system, we develop a distributed adaptive opportunistic
routing scheme (d-AdaptOR) for multihop wireless ad hoc networks whose performance is
shown
to be optimal with zero knowledge regarding network topology and channel
statistics.
ADVANTAGES OF PROPOSED SYSTEM:
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
•
System : Pentium IV 2.4 GHz.
•
Hard
Disk : 40 GB.
•
Floppy
Drive : 1.44 Mb.
•
Monitor : 15 VGA Colour.
•
Mouse : Logitech.
•
Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
•
Operating system : - Windows XP.
•
Coding Language : JAVA
REFERENCE:
Abhijeet A. Bhorkar, Mohammad
Naghshvar, Tara Javidi, and Bhaskar D. Rao,” Adaptive
Opportunistic Routing for Wireless Ad Hoc Networks” IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 20, NO. 1, FEBRUARY 2012.
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