一种改进的基于RSSI最小二乘法和拟牛顿法的WSN节点定位算法

A Enhanced Algorithm Based on RSSI and Quasi Newton Method for the Node Localization in Wireless Sensor Networks

针对受周围环境影响的无线传感器网络定位精度等因素引起的测量误差问题,提出一种改进的基于RSSI最小二乘法和拟牛顿法的定位算法。本文首先利用最小二乘法预估未知节点的初步位置,再将节点位置作为拟牛顿算法的初始值进行迭代计算,得到更为精确的节点位置。仿真结果证明,该算法能有效地抑制测距传播误差,提高传感节点的定位精度。

In order to reduce the measurement error by the surrounding environment influence when the signal is transmitting to improve the positioning accuracy, this paper proposes a kind of the localization algorithm that is the least squares method combined with the quasi Newton method. First, using the least square method to estimates the unknown node, and get the initial position of the unknown node, then putting the node position as a quasi Newton algorithm of the initial value to iterative calculation,getting more exact node location. Simulation outcomes display that the algorithm can impactfully decrease the influence of the error in propagation process and improve the accuracy of the sensor node localization, and the algorithm needs no any additional hardware equipment, so it is achieved likely.