A dynamic clustering algorithm in wireless sensor networks

Rui Wang; Yan Liang; Quan Pan; Quan Wang; Yongmei Cheng

doi:10.1117/12.655814

A dynamic clustering algorithm in wireless sensor networks

Rui Wang, Yan Liang, Quan Pan, Quan Wang, Yongmei Cheng

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Conference article › peer-review

Abstract

It is essential to prolong the lifetime of wireless sensor networks (WSN) via effective cooperation of its sensor nodes. Here, a dynamic clustering algorithm, named DCA, is presented to optimally and dynamically select the micro-sensor nodes to construct a dynamic sensor cluster at each time based on the integrated performance index including information acquirement and energy consumption. In distributed target tracking with WSN, the DCA can avoid the problem of "too frequent cluster head (CH) switches", save more than 80% energy and remain almost same tracking accuracy, compared with the information-driven sensor querying (IDSQ).

Original language	English
Article number	59850M
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5985 PART I
DOIs	https://doi.org/10.1117/12.655814
State	Published - 2005
Event	International Conference on Space Information Technology - Wuhan, China Duration: 19 Nov 2005 → 20 Nov 2005

Keywords

Self-configuration
Sensor collaboration
Target tracking
Wireless sensor networks

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10.1117/12.655814

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title = "A dynamic clustering algorithm in wireless sensor networks",

abstract = "It is essential to prolong the lifetime of wireless sensor networks (WSN) via effective cooperation of its sensor nodes. Here, a dynamic clustering algorithm, named DCA, is presented to optimally and dynamically select the micro-sensor nodes to construct a dynamic sensor cluster at each time based on the integrated performance index including information acquirement and energy consumption. In distributed target tracking with WSN, the DCA can avoid the problem of {"}too frequent cluster head (CH) switches{"}, save more than 80% energy and remain almost same tracking accuracy, compared with the information-driven sensor querying (IDSQ).",

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author = "Rui Wang and Yan Liang and Quan Pan and Quan Wang and Yongmei Cheng",

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language = "英语",

volume = "5985 PART I",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - Wang, Rui

AU - Liang, Yan

AU - Pan, Quan

AU - Wang, Quan

AU - Cheng, Yongmei

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N2 - It is essential to prolong the lifetime of wireless sensor networks (WSN) via effective cooperation of its sensor nodes. Here, a dynamic clustering algorithm, named DCA, is presented to optimally and dynamically select the micro-sensor nodes to construct a dynamic sensor cluster at each time based on the integrated performance index including information acquirement and energy consumption. In distributed target tracking with WSN, the DCA can avoid the problem of "too frequent cluster head (CH) switches", save more than 80% energy and remain almost same tracking accuracy, compared with the information-driven sensor querying (IDSQ).

AB - It is essential to prolong the lifetime of wireless sensor networks (WSN) via effective cooperation of its sensor nodes. Here, a dynamic clustering algorithm, named DCA, is presented to optimally and dynamically select the micro-sensor nodes to construct a dynamic sensor cluster at each time based on the integrated performance index including information acquirement and energy consumption. In distributed target tracking with WSN, the DCA can avoid the problem of "too frequent cluster head (CH) switches", save more than 80% energy and remain almost same tracking accuracy, compared with the information-driven sensor querying (IDSQ).

KW - Self-configuration

KW - Sensor collaboration

KW - Target tracking

KW - Wireless sensor networks

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DO - 10.1117/12.655814

M3 - 会议文章

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SN - 0277-786X

VL - 5985 PART I

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 59850M

T2 - International Conference on Space Information Technology

Y2 - 19 November 2005 through 20 November 2005

ER -

A dynamic clustering algorithm in wireless sensor networks

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Keywords

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