DocumentCode :
2328413
Title :
Swarm intelligence-based sensor network deployment strategy
Author :
Park, Hyungmin ; Han, Ji-Hyeong ; Kim, Jong-Hwan
Author_Institution :
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
The wireless sensor network is a decentralized and self-organized system. Each sensor node in the sensor network should be intelligent enough to carry out its task of monitoring the environment. There would be numerous ways for deploying the sensor nodes in the environment. In this paper, swarm intelligence-based sensor network deployment strategy is proposed. To make a reference point for each sensor node, fuzzy integral is utilized as a multi-criteria decision making process. Three criteria, such as sensor value, crowdedness and confidence, are used for partial evaluation and the degree of consideration for each criterion is represented by fuzzy measure. Global evaluation by fuzzy integral determines the best position for each sensor node independently. To show the effectiveness of the proposed strategy, it is compared with the SPSO07-based deployment strategy through computer simulations in a simulation environment. The results show that the proposed strategy covers much wider area with sensor nodes than the SPSO07-based one.
Keywords :
decision making; environmental science computing; fuzzy set theory; intelligent sensors; multivariable systems; particle swarm optimisation; self-adjusting systems; sensor placement; wireless sensor networks; SPSO07 based deployment strategy; computer simulation; decentralized system; fuzzy integral; intelligent sensor; multicriteria decision making process; self organized system; sensor network deployment strategy; swarm intelligence; wireless sensor network; Decision making; Mobile communication; Monitoring; Particle swarm optimization; Pixel; Pollution measurement; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586182
Filename :
5586182
Link To Document :
بازگشت