基于RSSI的无线传感器网络质心定位算法

RSSI-based Centroid Location in Wireless Sensor Networks

无线传感器网络中,节点定位技术是该领域内的核心技术之一。为解决传统质心定位算法中存在的定位精确度较低的问题,在划分无线传感器网络的基础上,提出了一种将RSSI测量方法与传统质心算法相结合的改进算法。该算法采用将接收到的RSSI值与网络划分区域相结合的方法,构成未知节点的估计区域从而进行节点定位。仿真实现表明,该算法定位误差较传统质心算法有明显提高。

In the wireless sensor network, the node localization is one of the core technologies in this domain. To solve the low localization caused by the traditional centroid location algorithm, based on the division of the wireless sensor network, the author put forward a renewed algorithm by combining the RSSI measuring technique with the centroid algorithm. The algorithm combines the received RSSI value with the divided area of the network and forms an estimated area of the unknown nodes so as to locate the node. Simulation shows that compared with the traditional centroid location algorithm, the error location has been significantly improved by this algorithm.