基于RSSI均值的等边三角形定位算法

为了提高无线传感网络的定位精度,从提高测量精度、改善信标节点分布的角度提出了一种基于RSSI均值的等边三角形定位算法.该算法引入信号强度指示(RSSI)敏感区和非敏感区概念,采用高斯模型对非敏感区的RSSI数据进行处理,解决了RSSI易受干扰的问题.采用等边三角形分布模型处理信标节点的分布,保证未知节点运动轨迹始终在信标节点的非敏感区内,从而在定位算法上使测量精度得到提高.研究表明,高斯模型可以很好地筛选出RSSI较优值;等边三角形分布模型可以提高RSSI的采集优度.这种定位算法计算简单,定位过程中节点间无通讯开销,无需硬件扩展.

Equilateral Triangle Localization Algorithm Based on Average RSSI

To get high precision of localization in WSNs(wireless sensor networks),an equilateral triangle localization algorithm based on average RSSI is brought up,taking account mainly of the measurement precision and improvement of the distribution of beacon nodes.This algorithm presents two concepts: sensitive region and insensitive region of RSSI.It introduces Gauss model to deal with the RSSI which is got from in sensitive region,then the problem that RSSI is easy to be interfered is resolved.And the equilateral triangle distribution model is used to deal with the distribution of beacon nodes to ensure that the tracks of unknown nodes are always kept within the insensitive region,thus improving the measurement precision.A conclusion is drawn that the Gauss model can screen out the first-class RSSI well and the equilateral triangle distribution model can improve the acquisition precision.This algorithm is easy to implement and no communication expense and extended hardware are required.