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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
        Back-Pressure-Based Packet-by-Packet Adaptive Routing in
                       Communication Networks
   Abstract
          Back-pressure-based adaptive routing algorithms where each packet is
   routed along a possibly different path have been extensively studied in the
   literature. However, such algorithms typically result in poor delay performance and
   involve high implementation complexity. In this paper, we develop a new adaptive
   routing algorithm built upon the widely studied back-pressure algorithm. We
   decouple the routing and scheduling components of the algorithm by designing a
   probabilistic routing table that is used to route packets to per-destination queues.
   The scheduling decisions in the case of wireless networks are made using counters
   called shadow queues. The results are also extended to the case of networks that
   employ simple forms of network coding. In that case, our algorithm provides a
   low-complexity solution to optimally exploit the routing–coding tradeoff.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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18

  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Back-Pressure-Based Packet-by-Packet Adaptive Routing in Communication Networks Abstract Back-pressure-based adaptive routing algorithms where each packet is routed along a possibly different path have been extensively studied in the literature. However, such algorithms typically result in poor delay performance and involve high implementation complexity. In this paper, we develop a new adaptive routing algorithm built upon the widely studied back-pressure algorithm. We decouple the routing and scheduling components of the algorithm by designing a probabilistic routing table that is used to route packets to per-destination queues. The scheduling decisions in the case of wireless networks are made using counters called shadow queues. The results are also extended to the case of networks that employ simple forms of network coding. In that case, our algorithm provides a low-complexity solution to optimally exploit the routing–coding tradeoff. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1