Task Offloading Strategy for Ocean Based on MEC

  • Xinxiu Jiang School of Information, Yunnan University, Kunming, China
  • Yongtao Yu Yunnan Key Laboratory of Smart City and Cyberspace Security, Yuxi , China
  • Peng Hu Research and Development Department, Youbei Technology Co., LTD, Kunming, China
  • Hongwei Ding School of Information, Yunnan University, Kunming, China
  • Zhijun Yang School of Information, Yunnan University, Kunming, China


With the development of marine business, the diversification of marine business has produced more and more delay-sensitive and computing-intensive tasks, and the demand for marine communication is becoming more and more obvious. Establish a task offloading model between ship users, select offload nodes based on the connectivity probability between ship users, in order to alleviate the problem of data congestion during transmission, use orthogonal frequency division multiple access technology to divide channels, and propose subtasks and Algorithm for subchannel matching. Ship users use solar energy to supply energy, and propose a penalty strategy for insufficient energy collection and a penalty strategy for task delay, so that the system can minimize the actual energy consumption and establish an objective function under the condition of satisfying the delay constraint. The local transmit power is optimized, and the gray wolf optimization algorithm is improved to obtain a better data offloading ratio. The simulation results of EdgeCloudSim show that, compared with other methods, the proposed method can achieve the best performance while guaranteeing the delay.