关键词: 海洋通信, 边缘计算, 鲸鱼优化, 能量收集, 边缘云模拟器

Abstract: Aiming at the problems of unstable energy and long time delay in marine communication network, a hybrid energy supply edge computing offload scheme is proposed. For energy supply, mobile edge computing (MEC) server integrates hybrid power supply and hybrid access point. Hybrid power supply uses renewable energy to supply energy for MEC server, and power grid is used to supplement energy to ensure the reliable operation of the system. Vessel users collect energy through radio frequency (RF) signal broadcast by hybrid access point. Aiming at the optimization problem of task offloading and taking energy delay trade-off optimization as the objective, the optimization scheme of task offloading ratio, local computing power and transmit power is formulated with the energy collection method. Finally, the dimension reduction optimization algorithm is adopted to simplify the objective function to a one-dimensional multi-constraint problem about task offloading ratio, and the whale optimization algorithm is improved to obtain the optimal total execution cost. The simulation results of EdgeCloudSim show that the proposed scheme reduces the execution cost by 13.4% and 9.6% compared with the scheme supporting energy collection and the basic offshore communication network optimization scheme.

Key words: ocean communication, edge computing, whale optimization, energy collection, EdgeCloudSim