无线传感器网络节点OSFL-TLBO定位算法

OSFL-TLBO Localization Algorithm for Wireless Sensor Networks

定位技术对于无线传感器的应用是至关重要的,没有位置坐标的传感器节点信息是没有意义的。针对非测距的DV-Hop算法定位精度不高的问题,提出了一种新的基于反向蛙跳-教学优化(OSFL-TLBO)定位算法,以改进DV-Hop用平均跳距来代替欧式距离时的累积误差问题和利用最小二乘法求解非线性方程时对初值敏感,受测量误差影响较大的问题。把无线传感器网络节点的定位问题转化为求解最优解的问题。仿真结果表明,所提算法的定位准确度提高大约10%~25%,有效的提高了定位精度。

Localization technology of wireless sensor networks is very important for the application of wireless sensor,it is meaningless to have sensors without localization information.Aiming at the problem of low positioning accuracy of DV-Hop algorithm,A new localization algorithm of OSFL-TLBO is proposed,It is used to replace the accumulated error of the average hop distance with Euclidean distance and to improve the least square method of sensitive to the initial value and greatly affected by the measurement error when solving the nonlinear equation.The localization problem of wireless sensor network nodes is transformed into the problem of finding the optimal solution.The simulation results show that the positioning accuracy of the proposed improved by about 10%~25%,and the performance of localization is improved effectively.