带有加权函数的基于RSSI的节点自身定位算法

Self localization of RSSI nodes based on the algorithm with weighted function

为降低定位算法测距误差对无线传感器节点自身定位精度的影响,提出一种带有加权函数的基于RSSI的节点自身定位算法。该算法提出新的约束条件和目标函数,通过控制可行域范围使其最大程度偏向可行解。仿真实验表明,本文提出的节点自身定位算法相比于其他改进的基于RSSI节点定位算法在不增加能耗的前提下,定位精度有显著的提升。

In order to reduce impact of ranging error localization algorithm for wireless sensor node itself on the accuracy of the proposed RSSI node localization algorithm based on its own with a weighting function. The algorithm proposed new constraints and objective functions by controlling the maximum extent feasible region ranges tend to make feasible solution. Simulation results show that the proposed node localization algorithm itself compared to other improved localization algorithm based on RSSI node without increasing the energy consumption of the premise, the positioning accuracy is significantly improved.