传感技术学报Issue(6)：888-894,7.DOI:10.3969/j.issn.1004-1699.2015.06.019
基于Lévy飞行特征的蝙蝠算法及其在WSN定位中的应用∗
Bat Algorithm Based on Lévy Flight Feature and Its Localization Application in WSN
摘要
Abstract
Given the shortcomings of premature convergence and slow convergence speed in bat algorithm, an im-proved adaptive bat algorithm( BA) based on Lévy flight strategy characterized by heavy-tailed distribution is pro-posed,which differs traditional BA in update approach of bat’s flying velocity and positions. It could effectively keep from the algorithm into a local optimum and accelerate convergence to achieve a balance between exploration and exploitation mechanisms. In WSN applications,we converted the WSN location problems into the global optimization ones and by applying ZigBee hardware platform to compare with other algorithms in different position,a conclusion could be drawn that the improved algorithm is of quicker convergence speed and higher precision,moreover,which realizes simple condition,high accuracy with huge value of practical engineering applications.关键词
无线传感器网络/RSSI/定位算法/蝙蝠算法/Lévy飞行Key words
wireless sensor network/RSSI/localization algorithm/bat algorithm/Lévy flight分类
信息技术与安全科学引用本文复制引用
石浩,王万良,李燕君,卢良进..基于Lévy飞行特征的蝙蝠算法及其在WSN定位中的应用∗[J].传感技术学报,2015,(6):888-894,7.基金项目
“十二五”国家科技支撑计划项目(2012BAD10B01) （2012BAD10B01）
