Hybrid WSN Node Deployment optimization Strategy Based on CS Algorithm

Tingli Xiang, Hongiun Wang, Yingchun Shi
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引用次数: 19

Abstract

The performance of wireless sensor network (WSN) system is significantly affected by the coverage quality. For the problem of low coverage of static sensor network nodes and high deployment cost of mobile sensor network nodes, a hybrid sensor network based on cuckoo search (CS) is studied. Node deployment optimization strategy. Firstly, the candidate target position of the mobile node is initially determined by the CS algorithm, and then the position optimization scheme is used to reduce the number of mobile nodes and the average moving distance. The experimental results show that the proposed algorithm can effectively optimize the deployment of mobile nodes in hybrid WSN, improve the coverage of target areas, and reduce the energy consumption of nodes.
基于CS算法的混合WSN节点部署优化策略
无线传感器网络(WSN)系统的性能受其覆盖质量的影响很大。针对静态传感器网络节点覆盖率低、移动传感器网络节点部署成本高的问题,研究了一种基于布谷鸟搜索(CS)的混合传感器网络。节点部署优化策略。首先,利用CS算法初步确定移动节点的候选目标位置,然后利用位置优化方案减少移动节点数量和平均移动距离;实验结果表明,该算法可以有效地优化混合WSN中移动节点的部署,提高目标区域的覆盖率,降低节点的能耗。
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