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Nobes Links Model Systems Continuous Improvement Nodes and Links

Written By Friday, 21 October 2022 Add Comment Edit

Abstract

Wireless sensor networks have been widely researched and developed in recent years. The node deployment problem is a multi-dimensional nonlinear optimization problem with continuous discrete variables. In order to improve the coverage effect of wireless sensor networks, a network coverage algorithm based on evidence theory is proposed. The motion direction of the wireless sensor node is calculated. The wireless sensor node is moved to the area with low perception probability. Improve the network coverage effect. Reduce the moving distance of wireless sensor nodes. Extended the service time of wireless sensor network. The simulation results show that this algorithm can improve the coverage effect of the monitoring area and reduce the moving distance of nodes effectively.

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Acknowledgements

This research is supported in part by National Natural Science Foundation of China (No. 61375021) and the Fundamental Research Funds for the Central Universities (No. NS2016091). The authors also gratefully acknowledge the helpful comments and suggestions of the editors and reviewers, which have improved the presentation.

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Authors and Affiliations

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, Jiangsu, China

    Qiangyi Li & Ningzhong Liu

  2. MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, 211106, Jiangsu, China

    Qiangyi Li & Ningzhong Liu

Corresponding author

Correspondence to Ningzhong Liu.

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The authors declare that they have no conflict of interest.

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Cite this article

Li, Q., Liu, N. Nodes Deployment Algorithm Based on Data Fusion and Evidence Theory in Wireless Sensor Networks. Wireless Pers Commun 116, 1481–1492 (2021). https://doi.org/10.1007/s11277-020-07996-7

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  • DOI : https://doi.org/10.1007/s11277-020-07996-7

Keywords

  • Nodes deployment algorithm
  • Data fusion
  • Evidence theory
  • Wireless sensor networks
  • Coverage optimization

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