摘要
根据移动传感器网络中节点定位的特性,对经典粒子滤波的采样策略、粒子加权策略和重采样策略进行改进和优化,提出一种新的移动节点定位算法PFNL。该算法克服了经典粒子滤波算法存在的粒子退化、采样枯竭等缺陷,从而降低节点定位过程中的计算开销和存储开销。仿真实验结果表明,PFNL算法在同等参数条件下的定位精度高于典型定位算法。
In view of the characteristic and demand of nodes localization in mobile sensor networks, this paper improves the classical particle filter in some significant aspects, and proposes a Particle Filter based Nodes Localization（PFNL） algorithm. This new localization algorithm overcomes the limitations of the classical particle filter and cuts down the requirement of node＇s computing and storage capability. Simulations show that PFNL possesses higher localization precision than other two typical localization algorithms under the same simulation parameters.
出处
《计算机工程》
CAS
CSCD
2013年第4期85-89,共5页
Computer Engineering
基金
国家自然科学基金资助项目(61073180)
关键词
移动传感器网络
节点定位
粒子滤波
序列
采样
接收信号强度
mobile sensor networks
node localization
particle filter
sequence
sampling
received signal strength
