Mobile Node Path Planning Based on Particle Swarm Optimization

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI:10.1109/ICCSN.2019.8905335

Chen Chuixin, Cheng Hanxiang

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Abstract

In Wireless Sensor Networks, Path planning for mobile nodes can effectively select the optimal path and improve the performance of wireless sensor networks. There are some problems in current path planning of mobile nodes in Wireless Sensor Networks, for example, it takes too long to complete the path planning and excessive energy consumption, etc. A path planning method for mobile nodes based on particle swarm optimization is proposed. According to the stop location of the mobile node, the energy consumption of each grid node is calculated and the path planning model of mobile node is established. Get the position and speed for each mobile node by using particles cooperate with each other. Fitness function is found by referring obstacle repulsive field in network mobile nodes path. Solving the global optimal path of mobile nodes based on the fitness value. The experimental results show that using the proposed method to plan the path of mobile nodes in wireless sensor networks requires shorter completion time and less energy consumption.

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基于粒子群优化的移动节点路径规划

在无线传感器网络中，对移动节点进行路径规划可以有效地选择最优路径，提高无线传感器网络的性能。目前无线传感器网络中移动节点的路径规划存在一些问题，如完成路径规划时间过长、能耗过大等。提出了一种基于粒子群优化的移动节点路径规划方法。根据移动节点的停止位置，计算各网格节点的能耗，建立移动节点的路径规划模型。利用粒子间的相互配合，得到每个移动节点的位置和速度。参考网络移动节点路径上的障碍物排斥场，求出适应度函数。基于适应度值求解移动节点的全局最优路径。实验结果表明，采用该方法规划无线传感器网络中移动节点的路径需要更短的完成时间和更低的能耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)

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