物联网感知层节点最小角信任度定位算法研究

摘要

The perceptual layer is at the most front-end of information collection, which plays a fundamental role in the internet of things. How to improve the perception layer node positioning accuracy is one of the important research projects in IOT industry because of the limit of energy. This article focuses on the origin DV-Hop arithmetic's shortage by using all anchor node equal to the unknown node positioning, introduces the concept of minimum angle trust and proposes the minimum angle trust localization algorithm on IOT's perceptual layer, that is DV-Hop_Toma. Simulation results, by using Matlab, show that DV-Hop_Toma improves the positioning precision comparing to the original algorithms.%感知层在物联网体系中处于信息采集的最前端,对物联网的实现起着基础性作用.在传感器能量有限性的前提下,如何提高感知层节点定位精度是物联网行业当前重要的研究课题之一.本文着重针对DV-Hop算法中所有锚节点同等对未知节点进行定位的不足,引入最小角信任度的概念,提出一种物联网感知层最小角信任度的定位算法,即DV-Hop_Toma.仿真结果表明:DV-Hop_Toma定位算法明显优于相同网络环境下的现有定位算法,定位精度得到了很大提高.