摘要
基于RSSI测距定位方法因其信号获取便捷、成本低、功耗小等优点受到广泛关注。然而传感器节点部署的实际环境复杂多变,使得基于RSSI测距的定位结果常常不稳定。针对传感器节点部署的随机性和测距信号受复杂环境的影响等因素,提出了一种鲁棒的RSSI测距位置估计算法。算法分别在测距阶段和计算坐标阶段最大限度消除误差,以达到提高定位精度。理论分析和仿真结果表明,新的算法比以往同类算法具有更高的精度和更强的稳定性。
The RSSI measuring localization method has attracted extensive attention due to its convenient acquisition of signals, low cost and small energy consumption. However, in complicated environment,the sensor node deployment is varied, which makes the localization results based on RSSI measuring usually unstable. In accordance with various factors such as the randomness of sensor node deployment and the impact of complicated environment on the measuring signals,this paper has proposed a robust RSSI localization algorithm.This algorithm can increase the accuracy of localization to the maximum during the measuring phase and the coordinate calculation phase. Extensive simulation results confirm that this proposed localization scheme outperforms remarkably traditional RSSI measuring localization algorithm.
出处
《金陵科技学院学报》
2014年第4期16-20,共5页
Journal of Jinling Institute of Technology
基金
金陵科技学院博士启动基金(jit-b-201411)
关键词
无线传感器网络
定位算法
抗差估计
岭回归
wireless sensor network
localization algorithm
robust estimation
ridge regression
