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《Journal of Ningde Normal University(Natural Science)》 2018-04
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A coverage optimization strategy based on weighted fish swarm algorithm

PAN Ri-ping;HUANG Wen-jun;School of Physics and Information Engineering,Fuzhou University;College of Information and Mechanical Engineering,Ningde Normal University;Fujian FuChuan Investment Co.,Ltd.Fuzhou;  
Aiming at the network of wireless sensor nodes,this paper proposes an improved method for deploying sensor nodes using weighted artificial fish swarm algorithm.Firstly,the improved method of adding weights is introduced into the standard artificial fish swarm algorithm to adaptively select the visual and step size of the artificial fish.Then the sensor nodes in the network coverage area are optimized by the behaviors of artificial fish foraging,clustering and rear-end hunting.Finally,network coverage and iteration are used as performance evaluation indicators.The method is compared with the results obtained by the standard artificial fish swarm algorithm.The results show that the weighted artificial fish swarm algorithm performs better and can be used to fully improve the scalability of wireless sensor networks.
【Fund】: 福建省中青年教师教育科研项目(JAT160538)
【CateGory Index】: TP18
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