基于UAV的无线传感器网络加权质心定位算法  

UAV-Based Weighted Centroid Localization Algorithm for Wireless Sensor Networks

作　　者：高美凤 尹持俊 GAO Meifeng;YIN Chijun(Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Jiangnan University,Wuxi Jiangsu 214122,PR China)

机构地区：[1]江南大学轻工过程先进控制教育部重点实验室,江苏无锡214122

出　　处：《传感技术学报》2021年第4期539-545,共7页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金项目(61373126)。

摘　　要：针对加权质心定位算法中,需要的固定锚节点数目较多导致定位成本较高,且定位误差较大等问题,将无人机作为移动锚节点,提出了一种基于信号强度比值并结合指数函数作为权值的加权质心定位算法(ERR-WCL)。该算法采用无人机沿着既定的航迹在室内空间中飞行,在规定的航迹点上广播数据包;未知节点根据接收的信号强度(RSSI)确定权值,从而估算未知节点自身的坐标位置。仿真结果表明,该算法有效地降低了定位误差,同时结合无人机,解决了定位成本高,使用不灵活,受到空间约束的问题。In the weighted centroid localization algorithm,more fixed anchor nodes are needed,which results in higher positioning cost and larger positioning error.Taking UAV as mobile anchor node,a weighted centroid localization algorithm(ERR-WCL)based on signal strength ratio and exponential function is proposed.The algorithm uses UAV to fly in the indoor space along the given track and broadcast data packets on the specified track points;the unknown node determines the weight according to the received signal strength(RSSI),so as to estimate the coordinate position of the unknown node.The simulation results show that the algorithm can effectively reduce the positioning error,and solve the problems of high cost,inflexible use and space constraints combined with UAV.

关 键 词：无线传感器网络 节点定位 加权质心定位算法 无人机 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]