计算机工程与应用Issue(11)：17-20,4.DOI:10.3778/j.issn.1002-8331.1401-0448
基于遗传算法的无线传感网精确定位方法
Location methods in WSN based on genetic algorithm
摘要
Abstract
One localization method based on the genetic algorithm is proposed in the Unknown Node-oriented Disk of Scatterers Model(UN-DSM)environments for wireless sensor networks. Firstly, the method uses the TOA(Time Of Arrival)and AOA(Angle Of Arrival)measurement information to estimate the positions of scatterers which located in the areas around the estimated node. Secondly, it selects the TOA information sets which consider existing less errors and performs parameters’value modification. Then the math function is built after the value modification. Finally, it solves the non-linear function by genetic algorithm to get the position of the unknown node. Simulation results show that the pro-posed location method can restrain NLOS error effectively, and has better location accuracy than the traditional location methods with good robustness.关键词
非视距传播/定位/锚节点/散射体圆盘模型/遗传算法Key words
Non-Line-Of-Sight propagation(NLOS)/location/anchor node/disk of scatterers model/genetic algorithm分类
信息技术与安全科学引用本文复制引用
徐彤阳..基于遗传算法的无线传感网精确定位方法[J].计算机工程与应用,2014,(11):17-20,4.基金项目
国家自然科学基金（No.U1204606）；山西省高等学校科技创新项目（No.2013124）；浙江省教育厅科研项目（No.Y201225848）。 （）
