Strategy of WSN Coverage Optimization by Improved Artificial Fish Swarm Algorithm

LI Li; LI Hui; ZHANG Tian-li; TAO Bai-rui; ZHANG Wen-xiu

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Strategy of WSN Coverage Optimization by Improved Artificial Fish Swarm Algorithm

更新时间：2026-09-04

- Strategy of WSN Coverage Optimization by Improved Artificial Fish Swarm Algorithm
- Vol. 30, Issue 2, Pages: 83-86(2013)
- 作者机构：
  
  1. 1 齐齐哈尔大学机构通信与电子工程学院,黑龙江,齐齐哈尔,161006
  2. 2 北京航空航天大学材料科学与工程学院,北京,100191
- 作者简介：
- 基金信息：
- DOI：
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- Published：2013
- 稿件说明：
移动端阅览
李丽, 李会, 张天丽, 陶佰睿, 张文秀. 基于改进鱼群算法的WSN覆盖优化策略[J]. 微电子学与计算机, 2013, 30(2): 83-86.

LI Li, LI Hui, ZHANG Tian-li, et al. Strategy of WSN Coverage Optimization by Improved Artificial Fish Swarm Algorithm[J]. 2013, 30(2): 83-86.
李丽, 李会, 张天丽, 陶佰睿, 张文秀. 基于改进鱼群算法的WSN覆盖优化策略[J]. 微电子学与计算机, 2013, 30(2): 83-86. DOI：

LI Li, LI Hui, ZHANG Tian-li, et al. Strategy of WSN Coverage Optimization by Improved Artificial Fish Swarm Algorithm[J]. 2013, 30(2): 83-86. DOI：

摘要

本文提出了一种基于改进人工鱼群算法的无线传感器网络覆盖优化策略.通过对人工鱼群视野范围和步长的自适应调整

提高了算法的寻优精度、收敛速度以及稳定性;再结合WSN网络覆盖的性能

使网络覆盖得以优化.仿真结果表明

改进的人工鱼群算法优化的网络覆盖率比基本人工鱼群算法的网络覆盖率提高了17%.

Abstract

This paper presents a coverage optimization strategy based on improved artificial fish swarm algorithm for wireless sensor networks.by adjusting the artificial fish swarm range of vision and step adaptively improved the accuracy of optimization

convergence speed and stability

then combined with the nature of the WSN network coverage

the network can be optimized.The simulation results show that: Compared to the basic artificial fish swarm algorithm

the improved artificial fish swarm algorithm optimize the network coverage of the network coverage improved 17%.

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