Title :
An Improved Routing Protocol in WSN with Hybrid Genetic Algorithm
Author :
Guo, Lejiang ; Tang, Qiang
Author_Institution :
Dept. of Early Warning Surveillance Intell., Air Force Radar Acad., Wuhan, China
Abstract :
Wireless Sensor Networks (WSN) represent a new dimension in the field of networking. In this paper, an improved Genetic Algorithm is applied to the design of high performance multi-path routing protocol of WSN at the first time. The Algorithm consists of two stages: single-parent evolution and population evolution. The initial population is formed in the stage of single-parent evolution by using gene pool, then the algorithm continue to the next further evolution process, finally the best solution will be generated and saved in the population. All numerical examinations illustrate the high convergence speed and good global searching of the new algorithm, and proved the validity of it.
Keywords :
genetic algorithms; routing protocols; wireless sensor networks; WSN; gene pool; hybrid genetic algorithm; improved routing protocol; multipath routing protocol; numerical examinations; population evolution; single-parent evolution; wireless sensor networks; Computer networks; Energy consumption; Genetic algorithms; Intelligent networks; Intelligent sensors; Military computing; Routing protocols; Surveillance; Wireless communication; Wireless sensor networks; network lifetime; routing protocol; wireless sensor networks;
Conference_Titel :
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-4011-5
Electronic_ISBN :
978-1-4244-6598-9
DOI :
10.1109/NSWCTC.2010.202