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

自动化学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

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).

源语言	英语
文章编号	59850M
期刊	Proceedings of SPIE - The International Society for Optical Engineering
卷	5985 PART I
DOI	https://doi.org/10.1117/12.655814
出版状态	已出版 - 2005
活动	International Conference on Space Information Technology - Wuhan, 中国期限: 19 11月 2005 → 20 11月 2005

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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).",

keywords = "Self-configuration, Sensor collaboration, Target tracking, Wireless sensor networks",

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T1 - A dynamic clustering algorithm in wireless sensor networks

AU - Wang, Rui

AU - Liang, Yan

AU - Pan, Quan

AU - Wang, Quan

AU - Cheng, Yongmei

PY - 2005

Y1 - 2005

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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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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