DocumentCode :
1700566
Title :
Coordinated Multi-sensors Coverage Based on Parallelism Selection Genetic Algorithm
Author :
Bin Wu ; Feng, Hailin
Author_Institution :
Sch. of Sci., Xi Dian Univ., Xi´´an, China
fYear :
2010
Firstpage :
28
Lastpage :
31
Abstract :
How to minimize the network redundancy and prolong network life are important problems while designing a coordinated multi-sensors coverage system. By adopting stochastic sensing model for each sensor node, this paper founds an optimization model for coordinated multi-sensors coverage problem. Then an improved genetic algorithm based on parallelism selection is presented. The simulation results show that the algorithm can effectively minimize network redundancy and prolong network life.
Keywords :
genetic algorithms; stochastic processes; wireless sensor networks; coordinated multisensors coverage; network redundancy; optimization model; parallelism selection genetic algorithm; stochastic sensing model; Biological cells; Monitoring; Optimization; Parallel processing; Sensors; Stochastic processes; Wireless sensor networks; coverage; network lifetime; parallelism selection genetic algorithm; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
Type :
conf
DOI :
10.1109/MINES.2010.13
Filename :
5670911
Link To Document :
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