摘要
本文分析了基于误差的最小二乘估计定位原理,提出一种基于遗传算法的无线传感器网络节点定位技术。建立所有节点的定位误差之和最小的数学模型,利用遗传算法求解模型的最优解,从而得到未知节点的最优的估计位置。实验仿真结果表明该算法对未知节点的定位精度高,条件简单,适合各种规模的无线传感网络节点的定位。
We analyze the shortcomings of the least squares estimation localization algorithm in Wireless Sensor Network.A novel localization Technology based on genetic algorithm for Wireless Sensor Network is proposed.The mathematical model was built with the smallest error for all of nodes,and the genetic algorithm was used to get the optimal solution of the model.Finally,we can get the optimal estimate position of the unknown nodes.The results of the simulation show that the localization accuracy of the algorithm is efficient for the nodes of the Wireless Sensor Network,and its condition is simple so that suitable for all sizes of wireless sensor networks.
出处
《井冈山大学学报（自然科学版）》
2011年第4期71-75,共5页
Journal of Jinggangshan University (Natural Science)
基金
吉安市重点科技计划项目(吉市科技字[2009]40号)
关键词
无线传感器网络
定位
遗传算法
锚节点
wireless sensor network
localization
genetic algorithm
anchor node
作者简介
廖萍（1980一），男，湖南衡阳人，讲师，主要从事计算机应用、计算机网络、无线传感器网络等研究（Email：jxjgsliaoping@163．com）
孔翠香（1978一）．女,陕西渭南人。讲师．硕士．主要从事无线传感器网络、Adhoc网络等研究（Email：liuyun8888@163．com）
