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Grid Clustering and Routing Protocol in Heterogeneous Wireless Sensor Networks (Short Paper)

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2018)

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Abstract

In wireless sensor network, sensor nodes usually use batteries to provide energy, and energy consumption have very strict restrictions. High demands about the efficient use of energy are put forward. However typical multi to one communication mode in the wireless sensor network will lead to the uneven consumption of sensor nodes in the whole network. So it will greatly shorten the lifecycle of the entire network. As for this problem this paper optimize the model of heterogeneous chessboard clustering of sensor network and propose a grid clustering mechanism and propose an effective node routing protocol to achieve the goal of prolonging the network lifecycle by balancing the energy consumption of nodes. Simulation experiments show that the grid clustering protocol greatly improves the lifecycle of wireless sensor networks and has better performance compared with LEACH and LRS.

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Author information

Authors and Affiliations

  1. College of Software, Nanyang Institute of Technology, Nanyang, 473000, Henan, China

    Zheng Zhang & Pei Hu

Authors
  1. Zheng Zhang
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  2. Pei Hu
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Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. University of West London, London, UK

    Xinheng Wang

  3. Hangzhou Dianzi University, Hangzhou Shi, Zhejiang, China

    Yuyu Yin

  4. London South Bank University, London, UK

    Muddesar Iqbal

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Z., Hu, P. (2019). Grid Clustering and Routing Protocol in Heterogeneous Wireless Sensor Networks (Short Paper). In: Gao, H., Wang, X., Yin, Y., Iqbal, M. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-030-12981-1_21

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  • DOI: https://doi.org/10.1007/978-3-030-12981-1_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12980-4

  • Online ISBN: 978-3-030-12981-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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