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International Conference on Communicatins and Networking in China

ChinaCom 2017: Communications and Networking pp 3–12Cite as

WSN Routing Algorithm Based on Energy Approximation Strategy

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Abstract

In the routing protocol of wireless sensor networks, the traditional LEACH algorithm is too random, and the cluster head selection of it is not ideal. To solve this problem, it proposes a WSN routing algorithm based on energy approximation strategy. It chooses a series of nodes with high energy and high density to form cluster candidate clusters, and then selects the farthest node as the cluster head from the candidates by using the energy approximation strategy. The algorithm is simple and easy to implement, and the cluster head selection of it is ideal. Using Matlab software for simulation, the results show that it is less energy consuming than the LEACH algorithm, and the lifetime of the whole network is prolonged.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Beijing Information Science & Technology University, Beijing, China

    Yuexia Zhang, Hang Chen & Tianrun Gao

  2. Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing, China

    Yuexia Zhang & Hang Chen

Authors
  1. Yuexia Zhang
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  2. Hang Chen
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  3. Tianrun Gao
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Corresponding author

Correspondence to Yuexia Zhang .

Editor information

Editors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, China

    Bo Li

  2. Guangdong Pharmaceutical University, Guangzhou, China

    Lei Shu

  3. China University of Geosciences, Wuhan, Hubei, China

    Deze Zeng

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Y., Chen, H., Gao, T. (2018). WSN Routing Algorithm Based on Energy Approximation Strategy. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-78139-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-78139-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78138-9

  • Online ISBN: 978-3-319-78139-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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