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一种用于移动无线传感器网络的新型节点定位算法 被引量：1

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摘要 在移动无线传感器网络中,节点获取自身的位置信息十分重要。传统的基于蒙特卡罗的移动节点定位算法都存在采样效率低以及需要很高锚节点密度的问题。针对以上问题,本文提出了一种基于差分演化的蒙特卡罗盒定位算法(DEMCB)。该算法利用差分演化对样本进行优化,让样本主动向节点真实位置靠近,而不是被动的被滤除;同时,引入节点置信度的概念用于计算样本权值。仿真实验结果表明,与传统的定位算法相比,该算法提高了定位精度和收敛速度,并能很好地应用于低锚节点密度的环境。
作者 毛万东 岳文振 俞能海
机构地区 中国科学院电磁空间信息重点实验室中国科学技术大学
出处 《数据通信》 2014年第2期15-19,共5页
关键词 移动传感器网络 定位 差分演化 节点置信度 蒙特卡罗盒
分类号 TN929.5 [电子电信—通信与信息系统] TP212.9 [自动化与计算机技术—检测技术与自动化装置]
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参考文献16

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数据通信
2014年 第2期

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