A Novel Intelligent Computing based Localization Algorithm for Internet of Things

摘要

The Internet of Things (IoT) is regarded as the third wave of information industry in the world after computer Internet and mobile communication network. It has attracted worldwide attention recently due to its great application prospect, and become an important research hotspot in the field of information technology at home and abroad. Localization is a very critical issue of IoT. It is an important supporting technology for most applications of IoT. In this paper, a novel intelligent computing based localization algorithm for IoT is presented. It combines the advantages of invasive weed optimization (IWO) and simplified quadratic approximation (SQA) to achieve better positioning performance. The simulation results show that, the presented localization algorithm has higher localization accuracy compared with other similar algorithms. Moreover, it has a strong robustness for communication ranging error, and shows higher practicability.