Application of Edge Intelligent Computing in Satellite Internet of Things

Abstract

With the advancement of aerospace technology and the investment of commercial satellite companies in the satellite industry, the number of satellites is increasing. Satellites become an important part of the IoT and 5G/6G communications. The sensors on the satellite will generate a large amount of data every day. However, due to the current on-board processing capability and the limitation of the inter-satellite communication rate, the data acquisition from the satellite has a higher delay and the data utilization rate is lower. In order to use the satellite Internet of Things intelligently, this paper proposes an application scheme of satellite IoT edge intelligent computing, and analyzes how edge computing and deep learning play a role in satellite IoT image data target detection. We simulated the proposed solution and experimented with the existing embedded processing board. Experiments show that the scheme can reduce the delay of acquiring images from satellites and performing target detection, and save backhaul bandwidth.