Research on Wireless Network Node Localization Algorithm for Internet of Things

摘要

The accuracy of node localization is the key to the location service applications in the Internet of Things. In this paper, a Monte Carlo localization algorithm based on Newton interpolation and differential evolution algorithm is proposed to solve the problem that the localization technology in the existing Internet of Things environment has insufficient localization accuracy and low localization efficiency. The algorithm uses Newton interpolation to reduce the sampling region, and improves the sampling success rate through the differential crossing step of the differential evolution algorithm. The simulation results show that the localization accuracy and localization efficiency of the algorithm are greatly improved compared with existing algorithms.