计算机工程与应用Issue(9)：77-82,92,7.DOI:10.3778/j.issn.1002-8331.1310-0279
基于入侵杂草优化算法的无线传感网节点定位
Invasive weed optimization based localization algorithm for Wireless Sensor Network
摘要
Abstract
Node localization by least squares method cannot achieve high accuracy in the range-based Wireless Sensor Network because of location error accumulations. This paper proposes an invasive weed optimization based localization algorithm for Wireless Sensor Network, which takes location errors as the fitness function, transforming the node localization problem into a nonlinear equations optimization problem. To increase the node localization accuracy, the presented algorithm employs the distance from the unknown node to the anchor node and the anchor node credibility to revise the fitness function. Simulation results show that the work can achieve higher accuracy under the circumstances of different ranging errors, dif-ferent communication radii, different numbers of anchors, and different number of nodes.关键词
无线传感器网络/节点定位/最小二乘法/入侵杂草优化算法Key words
Wireless Sensor Network(WSN)/node localization/least squares method/Invasive Weed Optimization(IWO)分类
信息技术与安全科学引用本文复制引用
陈志泊,张蕾蕾,李巨虎,孙国栋..基于入侵杂草优化算法的无线传感网节点定位[J].计算机工程与应用,2014,(9):77-82,92,7.基金项目
国家自然科学基金（No.61300180）；中央高校基本科研基金（No.BLX2012048）。 （）
