太赫兹科学与电子信息学报2025，Vol.23Issue(5)：468-475,8.DOI:10.11805/TKYDA2024063
MEC协同电力传感网中的计算卸载策略研究
Research on computation off loading strategy in MEC-coordinated power sensor networks
摘要
Abstract
With the large-scale development of renewable energy and the high proportion of massive terminals connected to the grid,the network load in the next generation smart grid will be further intensified,which brings unprecedented and great challenges to the power sensing network for real-time data collection and processing,and whole-domain information monitoring.At the same time,the sensor nodes have the problems of difficult energy replenishment as well as limited computational resources,and the traditional network structure will be difficult to meet the needs of the next generation grid,so it is of practical significance to study how to improve the energy efficiency of power sensor network.A Mobile Edge Computing(MEC)assisted computing offloading scheme for power sensor network is proposed to optimize the nodes'task processing latency and energy consumption under limited computational resources,by modeling the optimization problem as a Markov Decision Process(MDP)and solving the problem using Double Deep Q Network(DDQN)algorithm to minimize the total system overhead.Simulation results show that the proposed scheme outperforms the benchmark scheme in terms of delay,energy consumption and convergence performance.关键词
电力传感网络/能量效率/移动边缘计算/计算卸载/强化学习Key words
power sensor network/energy efficiency/Mobile Edge Computing(MEC)/computing offloading/reinforcement learning分类
电子信息工程引用本文复制引用
包宇奔,吴赞红..MEC协同电力传感网中的计算卸载策略研究[J].太赫兹科学与电子信息学报,2025,23(5):468-475,8.基金项目
南方电网公司科技项目资助(036000KK52220016(GDKJXM20220247) （036000KK52220016(GDKJXM20220247）
