Bilateral collaborative computing offloading via LEO satellites for remote network applications

Abstract

In remote areas, due to weak network infrastructure, limited device resources, and diverse application requirements, smart terminals face the challenge of reducing energy consumption while maintaining low latency and high reliability data processing. To address these issues, we integrate the advantages of Low Earth Orbit (LEO) satellites communications and edge computing, and propose a bilateral collaborative offloading mechanism assisted by LEO satellites. In ecological monitoring missions, data are collected by GATs. The results are demanded and used by ground environmental monitoring centers located in different locations. We make use of the features that satellite networks have full coverage and multiple ground base stations (GBS) are close to the environmental center to provide stable network support and achieve bilateral collaborative computing offloading. These ground base stations, working in collaboration with Low Earth Orbit (LEO) satellites, can solve the problem of limited computing resources when satellites handle large-scale tasks, while avoiding some problems caused by cloud computing. Results show that this mechanism obviously optimizes the task execution delay and terminal energy.