面向移动无线传感器网络的高效协作定位算法  

Efficient Collaborative Localization Algorithms for Mobile Wireless Sensor Networks

作　　者：吴贤平 苗春雨 王丽娜 WU Xianping;MIAO Chunyu;WANG Lina(Artificial Intelligence Academy,Zhejiang College of Security Technology,Wenzhou Zhejiang 325016,China;DBapp Security Co.,Ltd.,Hangzhou Zhejiang 310051,China;Southeast Digital Economic Development Institute,Quzhou Zhejiang 324000,China)

机构地区：[1]浙江安防职业技术学院人工智能学院,浙江温州325016 [2]杭州安恒信息技术股份有限公司,浙江杭州310051 [3]东南数字经济发展研究院,浙江衢州324000

出　　处：《传感技术学报》2024年第1期121-129,共9页Chinese Journal of Sensors and Actuators

摘　　要：在移动无线传感器网络中如何高效节能地获取节点的位置信息是热点研究问题。由于传感器网络一般采用电池供电且很难从外界获得能量补充,因此如何以尽可能低的能耗实现对节点的精确定位是研究的重点。提出采用虚拟多输入多输出VMIMO技术来实现节点的定位,该定位技术从总能耗、定位误差和节点移动速度三方面综合计算收发节点的最佳数量,从而降低了定位过程中的能耗。同时结合到达时间(TOA)算法实现了移动节点的高效定位。最终,实验分析了节点在不同移动速度等情况下的性能,结果表明基于VMIMO的定位算法在能耗方面具有显著的优势,且在节点移动的情况下具有非常强的鲁棒性。How to obtain the location information of nodes in mobile wireless sensor networks in an energy-efficient way is a hot research problem.Since sensor networks are generally battery-powered and difficult to obtain energy replenishment from the outside,how to a-chieve precise positioning of nodes with the lowest possible energy consumption is the focus of research.A virtual multiple-input multi-ple-output VMIMO technique for node positioning is proposed,which calculates the optimal number of transceiver nodes in terms of total energy consumption,positioning error and node movement speed,thus reducing the energy consumption in the positioning process.It is also combined with the time of arrival(TOA)algorithm to achieve efficient localization of mobile nodes.Finally,the experimental analy-sis of the performance of the nodes under different moving speeds shows that the VMIMO-based localization algorithm has significant ad-vantages in terms of energy consumption and is very robust in the case of node movement.

关 键 词：无线传感器网络 定位 到达时间 能源消耗 虚拟多输入多输出 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]