Presentation 2009-07-13
Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using SPSO
Masaki YOSHIMURA, Hidehiro NAKANO, Akihide UTANI, Arata MIYAUCHI, Hisao YAMAMOTO,
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Abstract(in English) To realize long-term operation of WSNs, we discuss in this study a method of suppressing the communication load on sensor nodes by effectively placing a limited number of sink nodes which gather data from sensor nodes. As a technique of solving effective locations for sink nodes, this paper proposes a new search method based on Particle Swarm Optimization that is one of the swarm intelligence algorithms, named the Suppression Particle Swarm Optimization (SPSO). The proposed method can find plural candidates for allocations of sink nodes effectively. Also, long-term operation of WSNs can be realized by swiching their allocations dynamically. Performing numerical simulations, we confirm effectiveness of the proposed method.
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Keyword(in English) Wireless Sensor Networks / Sink Node / Particle Swarm Optimization
Paper # NLP2009-26,NC2009-19
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Committee NLP
Conference Date 2009/7/6(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using SPSO
Sub Title (in English)
Keyword(1) Wireless Sensor Networks
Keyword(2) Sink Node
Keyword(3) Particle Swarm Optimization
1st Author's Name Masaki YOSHIMURA
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Akihide UTANI
3rd Author's Affiliation Tokyo City University
4th Author's Name Arata MIYAUCHI
4th Author's Affiliation Tokyo City University
5th Author's Name Hisao YAMAMOTO
5th Author's Affiliation Tokyo City University
Date 2009-07-13
Paper # NLP2009-26,NC2009-19
Volume (vol) vol.109
Number (no) 124
Page pp.pp.-
#Pages 5
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