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

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, different communication radii, different numbers of anchors, and different number of nodes.

Key words: Wireless Sensor Network（WSN）, node localization, least squares method, Invasive Weed Optimization（IWO）