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