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An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Network

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Advances in Swarm Intelligence (ICSI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8795))

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Abstract

Coverage control plays a significant role in wireless sensor network (WSN) design. To meet a layout with a certain cover rate, movable nodes are maintained in deployment which accomplish self-organization through moving and changing topological structure. This paper proposes an improved discrete particle swarm optimization algorithm aimed at coverage control method of WSN, and the optimization is implemented under two processes: deployment planning and movement control. The method interpreted in this paper can be easily used solving such problems and the experiment result shows its efficiency, which will inspire new insights in this field.

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Author information

Authors and Affiliations

  1. College of Software Engineering, Southeast University, Nanjing, China

    Huimin Du, Qingjian Ni, Yiyun Yao & Qing Lv

  2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China

    Huimin Du & Qingjian Ni

  3. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Qingjian Ni

  4. School of Information Science and Engineering, Southeast University, Nanjing, China

    Qianqian Pan

Authors
  1. Huimin Du
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  2. Qingjian Ni
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  3. Qianqian Pan
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  4. Yiyun Yao
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  5. Qing Lv
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Computer Science Department, CINVESTAV-IPN, Mexico

    Carlos A. Coello Coello

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© 2014 Springer International Publishing Switzerland

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Du, H., Ni, Q., Pan, Q., Yao, Y., Lv, Q. (2014). An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Network. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-11897-0_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11896-3

  • Online ISBN: 978-3-319-11897-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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