粒子群算法在无线网络节点位中的应用研究

PSO-based localization algorithm in wireless sensor networks

随着无线通信技术的发展以及物联网设备在室内环境的广泛部署,作为物联网服务的重要支撑技术之一的无线传感器网络的位技术再一次成为工业界和学术界的研究热点。本文根据DV-Hop算法在无线传感器网络位过程中存在的误差问题,引入粒子群算法对位误差进行优化,提出PSO-DV-Hop算法。仿真实验结果表明,本文提出的PSO-DV-Hop算法(基于粒子群算法的DV-Hop位算法)的位精确度较DV-Hop算法提高25%左右,在实际应用中具有重要的参考意义。

With the development of wireless communication technologies and the widely deployment of the Internet of Thing(IoT)devices in indoor environment,the location service in Wireless Sensor Networks(WSN)becomes the hot topic in both industry and academic since it is the supporting technology of IoT applications.This paper proposes PSO-DV-Hop algorithm which introduces Particle Swarm Optimization(PSO)to increase the localization accuracy of DV-Hop algorithm.The simulation result demonstrates that PSO-DV-Hop algorithm can improve the localization accuracy by 25%compared with DV-Hop algorithm which has significance in practical IoT applications.