Abstract
The increasing maturity of wireless communication technology and computer software has dramatically reduced the cost of embedded devices with functions such as sensing targets, processing data, and communications and expanded the application scenarios and scale, which has promoted the rapid development of WSN. Moreover, the acquisition of location information of unknown nodes is one of the critical issues that can be studied in wireless sensor networks. Therefore, aiming to solve large-ranging errors caused by uncertain factors in the ranging stage, this paper proposes a sensor network positioning method based on edge coverage control. It can dynamically correct model parameters to improve the performance of the DV-Hop method, integrate RSSI technology and error correction into the corresponding stage of DV-Hop, and make full use of the advantages of RSSI technology in short-distance applications. With the help of the known location information in WSN, the ranging error is reduced while avoiding information redundancy. The performance of DV-Hop can be improved to finally solve the positioning problem when the node deployment is relatively sparse. Simulation verification data show that the improved method can effectively reduce the distance estimation error in the same situation and achieve higher positioning accuracy.