Research on task scheduling in satellite edge computing

Abstract

Satellite edge computing has attracted the attention of many scholars due to its extensive coverage and low delay. Satellite edge computing research remains focused on on-orbit task scheduling. This study explores related strategy investigation in the scenario where high-load satellites cannot participate in task scheduling based on the deficiencies of existing research work and methods. In order to solve a better scheduling scheme, a hybrid genetic particle swarm optimization (GABPSO) is proposed by introducing crossover and mutation operations of genetic algorithm (GA) into binary particle swarm optimization (BPSO). The simulation results demonstrate that the proposed method outperforms both the traditional GA and BPSO algorithms.