DocumentCode :
693282
Title :
Short Life Artificial Fish Swarm Algorithm for wireless sensor network
Author :
Ting Yang ; Tang Yong
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
26-28 Oct. 2013
Firstpage :
378
Lastpage :
381
Abstract :
This paper describes the design of a Short Life Artificial Fish Swarm Algorithm for wireless sensor networks coverage optimization strategy by activate sleeping nodes with swarm intelligence. The algorithm also designed to detect events with multiple visual by swarm behavior. The algorithm also designed to work independently if network divided into isolated parts due to energy deficiency or uneven distributed nodes. In general, this work discussed the Artificial Fish Swarm Algorithm, provides improving strategy by 1) short life behavior, 2) chasing behavior, and 3) searching behavior. Experiment results show algorithm effectively improves network coverage with similar algorithm.
Keywords :
particle swarm optimisation; sensor placement; swarm intelligence; wireless sensor networks; chasing behavior; energy deficiency; searching behavior; short life artificial fish swarm algorithm; short life behavior; sleeping nodes; swarm behavior; swarm intelligence; uneven distributed nodes; wireless sensor networks coverage optimization strategy; Algorithm design and analysis; Marine animals; Mobile communication; Monitoring; Particle swarm optimization; Visualization; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Problem-solving (ICCP), 2013 International Conference on
Conference_Location :
Jiuzhai
Type :
conf
DOI :
10.1109/ICCPS.2013.6893550
Filename :
6893550
Link To Document :
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