DocumentCode :
3585160
Title :
Performance Analysis of Enhanced Genetic Algorithm Based Network Coding in Wireless Networks
Author :
Teo, Kenneth Tze Kin ; Chin, Renee Ka Yin ; Shee Eng Tan ; Chun Hoe Lee ; Kit Guan Lim
Author_Institution :
Simulation & Comput. Lab., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia
fYear :
2014
Firstpage :
213
Lastpage :
218
Abstract :
Network coding combines several packets from different sources and broadcasts the combined packet to several destinations in single transmission time slot. Each destination is capable to extract the intended information by decoding from a common packet. In short, network coding improves the throughput for wireless and wired networks but also causes side effects such as complexity of packets management and increased delay for coding opportunity. Hence, genetic algorithm is used to optimize the resources for network coding. Genetic algorithm will search for suitable routes to the destination according to the desired throughput with a desired multicast rate. In this paper, genetic algorithm is further enhanced in searching of optimum route for a packet. The simulation results show that enhanced genetic algorithm can adapt to various situations with different topologies, providing an optimum route for a packet in the network.
Keywords :
genetic algorithms; network coding; radio networks; search problems; telecommunication network management; telecommunication network routing; telecommunication network topology; genetic algorithm; intended information extraction; network coding; optimum route searching; packets management; performance analysis; resource optimization; single transmission time slot; throughput improvement; wired networks; wireless networks; Biological cells; Encoding; Genetic algorithms; Network coding; Sociology; Statistics; Throughput; Network coding; coding nodes; genetic algorithm; multicast; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling Symposium (AMS), 2014 8th Asia
Print_ISBN :
978-1-4799-6486-4
Type :
conf
DOI :
10.1109/AMS.2014.49
Filename :
7079302
Link To Document :
بازگشت