An Edge Computing Offloading Algorithm Based on Second-Order Oscillatory Particle Swarm Optimization

In the research of edge computing offloading for IoT devices, most researchers only focus on the optimization of single index. This will cause the offloading algorithm not to meet the expected effect. To solve the above problems, a joint optimization edge computing offloading algorithm based on second-order oscillatory particle swarm optimization is proposed. Firstly, adaptive parameters are used to improve the processing ability of particle swarm optimization algorithm for joint optimization problems. Secondly, the second-order oscillation function is introduced into particle swarm optimization algorithm, which improves the evolution stability and the convergence speed. The simulation experimental results confirm the effectiveness of the proposed scheme. The improved algorithm can optimize the task execution delay and energy consumption of IoT devices jointly, and it has good convergence speed and optimization ability.