基于虚拟节点的BP无线传感器网络定位算法  

BP localization algorithm based on virtual nodes in wireless sensor networks

作　　者：孙凯[1] 刘润杰[1] 申金媛[1] 

机构地区：[1]郑州大学信息工程学院,河南郑州450001

出　　处：《传感器与微系统》2010年第9期122-124,134,共4页Transducer and Microsystem Technologies

摘　　要：无线传感器网络中节点的准确定位是网络应用的支撑技术之一。针对网络中锚节点比例因素,提出了基于BP神经网络的次锚节点的定位算法,虚拟地增加网络中用于定位的锚节点的个数,并提出了引入虚拟节点的方法寻求较佳的次锚节点,从而提高了定位精度。该方法不依赖于节点间的距离,并利用了神经网络的并行性,因而算法简便快速,硬件结构实现简单。仿真结果证明了利用虚拟节点确定次锚节点的有效性,同时表明BP神经网络定位算法和次锚节点的引入可大大提高网络未知节点的定位精度,减少无线传感器网络的成本。Accurate localization of nodes is one of the supporting technologies for the applications of wireless sensor networks （ WSNs ）. Considering the proportion of beacons in the network, localization algorithm based on sub-anchors and BP neural network is proposed to virtually increase the number of anchor node that are used for localization, and the method of finding appropriate sub-anchor node is brought up through the virtual nodes to increase localization precision. Such algorithm utilizes not only the parallelism of neural networks but also the hops of the nodes, so that it is simple and easy to achieve in the hardware. The simulation result shows the effectiveness of using virtual nodes to determine sub-anchor node, and indicates that sub-anchor node and BP neural network localization algorithm could greatly improve the localization precision of the unknown nodes and reduce the costs of WSNs.

关 键 词：无线传感器网络 次锚节点 神经网络 虚拟节点 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]