一种无需模型参数的无线传感器网络定位算法

NODE LOCATING IN WIRELESS SENSOR NETWORK WITHOUT A PRIOR KNOWLEDGE OF CHANNEL MODEL PARAMETERS

提出一种无需模型参数的RSSI定位算法(二重消元法)。该算法通过对传播模型的处理,消去模型参数,并结合截断奇异值分解法求解方程组,实现节点实时定位,减少了传统RSSI定位技术的测试开销。仿真结果显示,二重消元法在一定程度上可以提高定位精度,适用于模型参数未知或不断变化的应用场景。

A RSSI algorithm without a prior knowledge of channel model parameters for node locating in Wireless Sensor Network was proposed in the paper. It can be realized using the algorithm real-time location estimation by coping with the channel model and TSVD to solve the equation. Extensive simulation results show that locating accuracy using the algorithm is higher than some of other RSSI algorithms, and the algorithm is especially suitable to the cases of absence or incorrectness of the channel model parameters.