Presentation 2010-03-01
A Study of Connectivity-Based Node Clustering for Wireless Sensor Networks
Tetsushi FUKABORI, Hidehisa NAKAYAMA, Hiroki NISHIYAMA, Nei KATO,
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Abstract(in English) In wireless sensor networks (WSNs), nodes, equipped with sensors and wireless communication devices, are scattered and they build autonomous-decentralized networks. We can collect sensed data of these nodes from the networks. Since nodes are battery-driven devices, the restraint of power consumption is a main concern in WSNs. As an approach, WSNs with mobile sinks are now attracting much attention. A mobile sink (e.g. robots) travels around a network and collects data of the neighboring sensor nodes, and thus, it can prolong network lifetime by power-saving communication with each node. A WSN is divided into multiple clusters, which a mobile sink visits one-by-one. Therefore, a clustering algorithm which optimizes the entire power consumption is important. In this paper, we study a clustering algorithm which takes into account the connectivity between each node.
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Keyword(in English) Wireless Sensor Networks / Mobile Sink / Clustering / Connectivity
Paper # CAS2009-87,SIP2009-132,CS2009-82
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Committee CS
Conference Date 2010/2/22(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Connectivity-Based Node Clustering for Wireless Sensor Networks
Sub Title (in English)
Keyword(1) Wireless Sensor Networks
Keyword(2) Mobile Sink
Keyword(3) Clustering
Keyword(4) Connectivity
1st Author's Name Tetsushi FUKABORI
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Hidehisa NAKAYAMA
2nd Author's Affiliation Department of Electoronics and Intelligent Systems, Faculty of Engineering, Tohoku Institute of Technology
3rd Author's Name Hiroki NISHIYAMA
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Nei KATO
4th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2010-03-01
Paper # CAS2009-87,SIP2009-132,CS2009-82
Volume (vol) vol.109
Number (no) 436
Page pp.pp.-
#Pages 6
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