摘要
无线传感器网络的许多应用都和节点的位置紧密相关,节点自定位成为当前研究的一个热点。针对信号强度受环境影响较大,提出了接收信号强度自校正定位算法。该算法利用信标节点实际测量信号确定无线信号传播损耗模型,采用组合3边测量获得节点坐标估计值集合,再用加权质心方法确定节点的最终坐标。仿真结果表明,该算法较传统的基于接收信号强度定位方法定位精度有了明显的改进。
Since many applications are closely related to the positions of nodes for wireless sensor network, self-location has become the focus of attention. In order to reduce the influence of environment on the signal strength, this paper proposes a new location algorithm based on RSSI serf-calibration. In this algorithm, the actual signal loss of beacon nodes can be used to calculate the parameters of signal propagation loss model. The combination trilateration can be used to obtain the set of coordinates estimates of unknown nodes and the weighted mean can be used to calculate the final coordinates to improve location accuracy. Simulation results show that location accuracy has been improved greatly by using this algorithm compared with traditional RSSI-based algorithm.
出处
《无线电工程》
2010年第3期7-9,共3页
Radio Engineering
