电力物联网移动边缘计算任务卸载策略

Task unloading strategy of power internet of things mobile edge computing

由于云计算框架中的传播延迟无法满足电力物联网对低延迟和可靠性的要求,在移动边缘计算框架的基础上,提出一种基于电力物联网的云-边缘网络结构,并对业务响应时延进行建模。通过约束优化和改进遗传算法相结合求解优化模型,得出最优计算卸载策略。通过仿真进行对比分析,验证提出的移动边缘计算卸载策略的有效性。结果表明,该策略在提高业务处理可靠性的同时,也大幅度降低了故障情况下业务响应时延,与仅重传策略的延迟性能相比,该策略延迟性能提高了6.4%。综上,该研究可对电力物联网的发展提供一定的参考和借鉴。

For the propagation delay in the cloud computing framework,it is increasingly difficult to meet the requirements of low delay and reliability of the power Internet of things.Based on the mobile edge computing framework,a cloud-edge network structure based on the power Internet of things is proposed,and models the service response delay.The optimization model is solved through the combination of constraint optimization and improved genetic algorithm,and the optimal computing unloading strategy is obtained.The effectiveness of the proposed unloading strategy of mobile edge computing is verified by simulation.The results show that the proposed strategy not only improves the reliability of service processing,but also greatly reduces the service response delay in case of failure.Compared with the delay performance of the retransmission only strategy,the delay performance of the strategy is improved by 6.4%.Therefore,the research provides a certain reference for the development of power Internet of things in China.