Abstract:The propagation model based on experience has multi-valued problems in the practical application, which causes the
RSSI and the distance not one- to-one mapping. This paper proposes an improved MDS-MAP localization algorithm, which uses
propagation model based on distance interval ranging probability to eliminate the influence of multi-valued problems to ranging accuracy
of the model, thereby improving measurement accuracy of ranging model. The simulation results show that the improved algorithm
has better positioning accuracy when compared with the traditional MDS - MAP localization algorithm.
胡良梁. 基于距离区间概率测距的无线传感器网络定位算法研究[J]. 电脑与电信, 2015, 1(5): 13-23.
Hu Liangliang. Localization Algorithm Based on the Distance Probability ofWireless Sensor Networks. Computer & Telecommunication, 2015, 1(5): 13-23.