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Multi-Strategy Enhanced Coot Algorithm for Coverage Optimization in Wireless Sensor Networks
  • +4
  • Weibin Kong,
  • Yi Du,
  • Xiaoyu Zhang,
  • Baomin Jia,
  • Zhongqing Fang,
  • Qiong Liang,
  • Xue Du
Weibin Kong
Yancheng Institute of Technology
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Yi Du
Yancheng Institute of Technology
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Xiaoyu Zhang
Yancheng Institute of Technology
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Baomin Jia
Yancheng Institute of Technology

Corresponding Author:jiaycit@sina.com

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Zhongqing Fang
Yancheng Institute of Technology
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Qiong Liang
Yancheng Institute of Technology
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Xue Du
Yancheng Institute of Technology
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Abstract

An improved coot optimization algorithm is proposed for wireless sensor networks (WSNs) coverage optimization. To monitor the interest field and obtain the valid data, a wireless sensor network coverage model is established. The population is initialized with cubic map and opposition-based learning strategy. The leader population is reversely learned dimension by dimension, so as to improve the diversity of the population and the global optimization ability of the algorithm. The simplex method is introduced to optimize the local exploration of the population. The experimental results show that the enhanced coot optimization algorithm for coverage optimization in wireless sensor networks can reduce energy consumption and improve network coverage.
22 May 2023Submitted to Electronics Letters
23 May 2023Submission Checks Completed
23 May 2023Assigned to Editor
29 May 2023Reviewer(s) Assigned
14 Jun 2023Review(s) Completed, Editorial Evaluation Pending
15 Jun 2023Editorial Decision: Revise Major
25 Jun 20231st Revision Received
29 Jun 2023Submission Checks Completed
29 Jun 2023Assigned to Editor
29 Jun 2023Review(s) Completed, Editorial Evaluation Pending
08 Jul 2023Editorial Decision: Accept