一种无线传感器网络环境自适应的定位算法

Environment self-adaptive localization algorithm for wireless sensor networks

针对基于接收信号强度指示(RSSI)的加权质心定位算法,研究了实际环境中节点的RSSI特性,利用加权多项式法在线拟合出信标节点间距离和接收信号功率的关系,从而不需要计算实际环境中信号衰减因子等参数而实现节点间测距,将估算的距离转换为合适的权值,再结合质心算法实现定位。MATLAB仿真结果表明,该算法具有更好的定位精度和更强的环境自适应性。

This paper studied the characteristic of received signal strength indicator （ RSSI） . Without calculating the environment parameters like path loss exponent,introduced weighted polynomial method to acquire current the relationship between the distance and received signal power among beacon nodes on line,and converted estimated distance to an appropriate weight. Then the location information of nodes could be calculated out by weighted centroid localization algorithm （ WCLA） . Simulation results in MATLAB show that the algorithm has a higher average localization accuracy and stronger robustness to environmental disturbance.