移动无线传感网络的分布式协作定位的研究  

DISTRIBUTED COOPERATIVE LOCALIZATION FOR MOBILE WIRELESS SENSOR NETWORK

作　　者：贺伟 梁潘[2] He Wei;Liang Pan(College of Electric Information and Automation , Aba Teachers University, Wenchuan 623002, Sichuan, China;Department of Aviation Manufacturing Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, Sichuan , China)

机构地区：[1]阿坝师范学院电子信息与自动化学院,四川汶川623002 [2]成都航空职业技术学院机电工程学院,四川成都610100

出　　处：《计算机应用与软件》2019年第4期161-165,共5页Computer Applications and Software

摘　　要：针对移动无线传感网络,并基于到达时间TOA(Time-of-Arrival)的测距模型,分析利用传感节点的移动信息进行定位问题,提出基于二阶锥规划的分布式定位算法。推导最大似然ML(Maximum Likelihood)定位估计表达式;考虑到基于ML的协作定位的非凸性,选用二阶锥规划SOCP(Second-order Cone Programming)松驰技术求解。为了降低计算成本,采用分布式策略实施SOCP算法。实验数据表明,该算法减少了均方根误差,提高了定位精度。For mobile wireless sensor network, we studied the problem of localization using mobile information of sensor nodes based on the time-of-Arrival(TOA) model. Then we proposed distributed localization algorithm based on second-order cone programming. The expression of maximum likelihood(ML) location estimation was derived. Considering the non-convexity of ML-based cooperative localization, we used the second-order cone programming(SOCP) relaxation technique to solve the problem. In order to reduce the computing cost, a distributed strategy was adopted to implement the SOCP algorithm. The experimental data show that the algorithm reduces the root mean square error and improves the localization accuracy.

关 键 词：移动无线传感网络 定位 到达时间 最大似然估计 二阶锥规划 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]