Author:
Hu Bingyi,Gao Jixun,Hu Yanxin,Wang Huaichen,Liu Jialei
Abstract
Abstract
The energy consumption of traditional mobile network is mainly reflected by task calculation and data transmission. The edge server in mobile edge computing is placed at the edge of the network closer to the mobile terminal device. When the computing resources of the mobile terminal device are insufficient, the task can be offloaded to the edge server for processing. This paper discusses the energy consumption optimization in the Mobile Edge Computing (MEC) system, which is composed of the edge server and mobile devices at the edge of the network. Firstly, the system model of MEC is elaborated. Secondly, the energy consumption optimization for mobile devices and base stations is studied. Which oriented to the mobile device energy consumption optimization is divided into multiple users - single MEC server scenarios of energy consumption optimization and multiple users - the energy optimization of MEC server scenario, and enumerate the oriented to the base station and a new method for the optimization of energy consumption for mobile equipment energy consumption optimization method, in addition to the insufficiencies of these methods and the prospect of the future are also explained.
Subject
General Physics and Astronomy
Reference32 articles.
1. Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems;Fu;EURASIP Journal on Wireless Communications and Networking,2021
2. The Promise of Edge Computing;Shi;Computer,2016
3. Progress and Trends in Mobile Cloud Computing Research;Wang;Journal of Physics: Conference Series,2019
4. Edge Computing: Vision and Challenges;Shi;Internet of Things Journal, IEEE,2016
5. Mobile Edge Fog Computing in 5G Era: Architecture and Implementation;Singh,2017
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimal Resource Allocation in Mobile Edge Computing using Reinforcement Learning Approach;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14