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无线传感器网络测距定位算法改进与分析
引用本文:朱达荣,欧剑,闵杰. 无线传感器网络测距定位算法改进与分析[J]. 安徽大学学报(自然科学版), 2011, 35(5): 52-57
作者姓名:朱达荣  欧剑  闵杰
作者单位:1. 合肥工业大学计算机与信息学院,安徽合肥230009;安徽建筑工业学院电子与信息工程学院,安徽合肥230022
2. 安徽建筑工业学院电子与信息工程学院,安徽合肥,230022
基金项目:国家自然科学基金资助项目(61073161);安徽省国际科技合作计划基金资助项目(10080703001)
摘    要:在无线传感器网路实际应用中,节点定位技术是重要的支撑技术之一.不同于常规的求解距离等式方程组解法,分别采用MLE(最大似然估计参数)法和最小二乘法,对无线传感器网络测距的定位算法进行改进.非常有趣的是,两种不同方法得到的结果完全一致.最后经过实验评估和算法仿真对比分析测距定位算法改进前后的特性,结果表明改进后的测距定位算法能取得良好的定位精度.

关 键 词:信标节点  最小二乘法  定位算法  MLE  无线传感器网络

Improvement and analysis for range-based localization in wireless sensor networks
ZHU Da-rong,OU Jian,MIN Jie. Improvement and analysis for range-based localization in wireless sensor networks[J]. Journal of Anhui University(Natural Sciences), 2011, 35(5): 52-57
Authors:ZHU Da-rong  OU Jian  MIN Jie
Affiliation:1.School of Computer and Information,Hefei University of Technology,Hefei 230009,China; 2.School of Electronics and Information Engineering,Anhui University of Architecture,Hefei 230022,China)
Abstract:In the practical applications of wireless sensor networks,node localization technology is one of the key supporting technologies.Unlike the conventional method by solving the distance equations,the measurement of wireless sensor network localization algorithm was improved by MLE(Maximum likelihood estimation method) and least square method respectively.Interestingly,the same results were achieved by the above two different methods.Finally,experimental evaluation and algorithm simulation were presented to compare the original and improved location algorithms.The measurement results showed that the improved algorithm could achieve good positioning accuracy.
Keywords:beacon node  least square method  localization algorithm  maximum likelihood estimation  wireless sensor network
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