基于PSO的测距模型参数估计三维定位算法

Ranging Model Parameters Estimate Three-dimensional Localization Algorithm Based on Particle Swarm Optimization

摘要:

节点定位技术是无线传感器网络应用的重要支撑技术之一；针对粒子群优化(PSO)定位方法的定位精度依赖于测距模型参数与实际值的符合程度,在接收信号强度指示(RSSI)测距模型的基础上,提出一种测距模型参数估计的三维定位算法；该方法无需计算距离,将未知节点的位置和RSSI测距参数作为自变量,以信号强度误差为目标函数,采用粒子群优化算法估算未知节点坐标；仿真结果表明所提算法不依赖于测距模型参数的选取,并取得了理想的定位精度。

Abstract:

The node localization technology is a key support to wireless sensor networks application technology. The accuracy of Particle Swarm Optimization (PSO) localization method depends on the conformity of the ranging model parameters with the actual values. Using the Received Signal Strength Indicator (RSSI) ranging model, a three-dimensional localization algorithm is introduced based on estimate of ranging model parameters in this paper. Without calculating the distances, the algorithm takes the coordinates of unknown nodes and ranging model parameters as arguments, the signal strength errors as target function, and applies PSO algorithm to estimate the unknown node coordinates. The simulation results show that the proposed localization algorithm does not depend on the ranging model parameters, and obtains the ideal location accuracy.