基于遗传算法的WSN节点定位技术

提出一种基于遗传算法的无线传感器网络节点自定位技术，在算法的第1阶段利用采样方法对节点初始位置进行初步估计，在 第2阶段采用遗传算法对节点初始位置进行求精。仿真实验结果表明，该算法在锚节点比例较低的情况下仍然能够对未知节点进行准确定位，且定位精度更高。

WSN Node Localization Technology Based on Genetic Algorithm

Node management of cluster is very important to the performance of Wireless Sensor Networks(WSN), so a method based on the integrative support degree is presented. The key of method is that the integrative support degree of sensing data is obtained with the error function and fuzzy correlation function, and sensor nodes and their sensing data are divided into two types of reliable and unreliable through their integrative support degrees and increments of integrative support degrees, which provide the feasibility for exact controlling the redundant nodes and unreliable nodes. Simulation results demonstrate that the method is efficient to realize sensor node classification.