摘要
针对无线传感器网络部署中随机抛洒方式下,如何选择部分节点参与构建网络的问题,提出了一种基于模糊粒子群优化算法的优化部署方法。该方法使用每个粒子代表问题的一个可能解,然后进行迭代寻优,并通过隶属度函数将连续变量转换为01值。实验结果表明:所提方法能够在节点数量和覆盖率之间取得较好的平衡,具有一定的优势。
Aiming at the problem of wireless sensor networks(WSNs)deployment by random throwing method how to select part of nodes to participate constructing WSNs,a method based on fuzzy particle swarm optimization(PSO)is proposed.One particle stands for a feasible solution in this method,and then optimizing is carried out by iterations.Membership function is used to transform the continuous variable to binary value.Experimental result shows that this method can achieve balance between the amount of nodes and the coverage rate.
作者
张亮
黄郡
ZHANG Liang;HUANG Jun(Institute of Electronic Countermeasure,National University of Defense Technology,Hefei 230037,China)
出处
《传感器与微系统》
CSCD
北大核心
2021年第1期23-25,29,共4页
Transducer and Microsystem Technologies
关键词
模糊粒子群优化算法
部署优化
无线传感器网络
fuzzy particle swarm optimization algorithm
optimization of deployment
wireless sensor networks(WSNs)