一种基于航迹推算与RSSI相结合的移动传感器网络节点定位方法

航迹推算不需要外部传感器信息,并具有定位精度高的优点,因此广泛应用在移动机器人的定位领域,但在移动无线传感器网络节点定位中,航迹推算难以避免误差的累积,且需要设定初始坐标。本文提出了一种基于航迹推算与RSSI相结合的移动传感器网络节点定位方法,该方法将二者的优缺点互补,具有不需要信标节点、计算量小、对硬件要求低等特点,且可以解决误差累积的问题。本文利用Matlab进行了仿真,仿真结果表明该方法明显地提高了定位精度,可以有效地应用在移动无线传感器网络中。

A positioning method based on the combination of dead reckoningand RSSI in the mobile sensor network

Dead reckoning can be used to navigate and position in the field of mobile wireless sensor network because of no requirement of external sensor information and high precision. However, in the field of mobile wireless sensor network node localization, this method can not avoid cumulative error and needs to initial the coordinate. This paper presents a positioning method which is based on dead reckoning and RSSI localization, with the characteristics of no requirement of anchor nodes, a small amount of calculation, small requirement of hardware and so on, It can solve the problem about the accumulated error. This paper conducts a simulation using Matlab, the result shows that this method significantly enhances the positioning accuracy, and can be used widely in the mobile wireless sensor network.