BeiDou Satellite Positioning Method Based on IoT and Edge Computing

Abstract

The BeiDou navigation satellite system (BDS) developed by China can provide users with high precision, as well as all-weather and real-time positioning and navigation. It can be widely used in many applications. However, new challenges emerge with the development of 5G communication system and Internet of Things (IoT) technologies. The BDS needs to be suitable for the large-scaled terminal scenario and provides higher positioning precision. In this paper, a BeiDou differential positioning method based on IoT and edge computing is proposed. The computational pressure on the data center is offloaded to the edge nodes when the massive positioning requests of IoT terminals need to be processed. To ensure the load balancing of the edge nodes, the resource allocation of the terminal positioning requests is performed with the improved genetic algorithm, thereby reducing the service delay of the entire edge network. Moreover, the optimized unscented Kalman filter based on the edge node (EUKF) algorithm is used to improve the positioning precision of IoT terminals. The results demonstrate that the proposed positioning method has better positioning performance which can provide the real-time positioning service for the large-scale IoT terminals.

Research on BeiDou Satellite Positioning Algorithm Based on GPRS Technology

“…To verify the positioning effect of the BeiDou satellite positioning algorithm based on GPRS, a simulation was carried out. In this study, the BeiDou differential positioning method based on the IoT and edge computing [5] and the satellite positioning method based on the nonparametric Bayesian model [6] were selected as the comparison methods and were compared with the proposed method.…”

“…Recently, there are a lot of studies to improve BeiDou positioning and communication services. Wang and Qiu [5] proposed a BeiDou differential positioning method based on the Internet of ings (IoT) and edge computing. To ensure the load balance of the edge nodes, the resource allocation of the terminal location request is carried out using the improved genetic algorithm, to reduce the service delay of the whole edge network.…”