DocumentCode :
3058004
Title :
Minimizing Network Coding Nodes in Multicast Tree Construction via Genetic Algorithm
Author :
Shee Eng Tan ; Zhan Wei Siew ; Yit Kwong Chin ; Lye, Scott Carr Ken ; Teo, K.T.K.
Author_Institution :
Modelling, Simulation & Comput. Lab., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia
fYear :
2012
fDate :
24-26 July 2012
Firstpage :
399
Lastpage :
404
Abstract :
Network coding is a method that increases network throughput by encoding several packets with single packet size length and forwards the packet in a single transmission time slot. At the same time, network coding increases the complexity of packets management and delay of network due to the waiting time for network coding opportunity. A solution based on improved genetic algorithm is proposed to optimize the network coding node resources in network coding. Genetic algorithm will search a multicast tree that fulfils the desired throughput with a desired multicast rate. Mutation rate of the genetic algorithm will change based on the previous solution to avoid from being stuck on the local optima. The simulation result shows that with given multicast rate, improved genetic algorithm is able to search and construct multicast tree with minimal usage of network coding nodes.
Keywords :
communication complexity; genetic algorithms; multicast communication; network coding; telecommunication network management; genetic algorithm; local optima; multicast tree construction; network coding nodes; network coding opportunity; network delay; packets management complexity; single packet size length; single transmission time slot; Biological cells; Encoding; Genetic algorithms; Network coding; Network topology; Optimization; Topology; genetic algorithm; multicast; network coding; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
Type :
conf
DOI :
10.1109/CICSyN.2012.79
Filename :
6274375
Link To Document :
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