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Node Localization Based on Improved PSO and Mobile Nodes for Environmental Monitoring WSNs

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Abstract

In this paper, a novel iterative localization algorithm based on improved particle swarm optimization (PSO) is proposed for monitoring environment like lakes, rivers or other water bodies. The first step of this algorithm is to get the position of some unknown nodes by using improved PSO algorithm. The second step is to locate other nodes by using these unknown nodes in first step as new anchor nodes. The localization problem of island node in sparse distributed grid is solved by introducing adaptive mobile node in this paper. The simulation results show that the algorithm has the advantages of small location error and little influence by environmental factors.

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Acknowledgements

The work of this paper is supported by the National Nature Science Foundation of P.R. China under Grant Nos. 61401221, 61873131, 61872196, 51608437, 61701168, 61572261, 61572260, 61373017, China Postdoctoral Science Foundation under Grant No. SBH16024, Scientific & Technological support project of Jiangsu Province under Grant Nos. BE2017166, BE2014718, BE2015702, NJUPT Teaching Reform Project under Grant No. JG00417JX74.

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Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

    Shu Shen, Lijuan Sun, Yibo Dang, Zhiqiang Zou & Ruchuan Wang

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China

    Shu Shen, Lijuan Sun, Zhiqiang Zou & Ruchuan Wang

Authors
  1. Shu Shen
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  2. Lijuan Sun
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  3. Yibo Dang
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  4. Zhiqiang Zou
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  5. Ruchuan Wang
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Correspondence to Lijuan Sun.

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Shen, S., Sun, L., Dang, Y. et al. Node Localization Based on Improved PSO and Mobile Nodes for Environmental Monitoring WSNs. Int J Wireless Inf Networks 25, 470–479 (2018). https://doi.org/10.1007/s10776-018-0414-3

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  • DOI: https://doi.org/10.1007/s10776-018-0414-3

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