5G MEC-Based Intelligent Computation Offloading in Power Robotic Inspection

IF 10.9 1区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE Wireless Communications Pub Date : 2023-04-01 DOI:10.1109/MWC.003.2200350

Wei Wang, Rui Qu, Haijun Liao, Zhao Wang, Zhenyu Zhou, Zhongyuan Wang, S. Mumtaz, M. Guizani

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引用次数: 1

Abstract

Power robotic inspection plays a critical role in the realization of real-time visualization and perception of substation in power grid. 5G mobile edge computing (MEC) has emerged as a promising solution to provide the large bandwidth, wide connectivity, and proximate computing capabilities for the computation offloading of power robotic inspection with stringent delay requirements. This article proposes a 5G MEC-based intelligent computation offloading framework in power robotic inspection to cope with multi-dimension entity heterogeneity, environment dynamics, and inspection delay guarantee. Specifically, the proposed framework and the implementation procedures of computation offloading are firstly elaborated, and the research challenges are outlined. Then, we propose an artificial intelligence (AI)-enabled multi-dimension collaborative optimization algorithm of route planning and task offloading to address the low-latency computation offloading problem under queue stability constraint. A case study is provided to verify the superiority of delay and queue backlog performance through simulation results.

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基于5G mec的电力机器人巡检智能计算卸载

电力机器人巡检是实现电网变电站实时可视化和感知的关键。5G移动边缘计算(MEC)已经成为一种有前途的解决方案，可以为具有严格延迟要求的电力机器人检查的计算卸载提供大带宽、宽连接和近似计算能力。本文提出了一种基于5G mec的电力机器人巡检智能计算卸载框架，以应对多维实体异质性、环境动态性和巡检延迟保证。具体而言，首先阐述了提出的计算卸载框架和实现步骤，并概述了研究面临的挑战。然后，针对队列稳定性约束下的低延迟计算卸载问题，提出了一种基于人工智能(AI)的多维协同优化算法。通过仿真结果验证了延迟和队列积压性能的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Wireless Communications 工程技术-电信学

CiteScore

24.20

自引率

1.60%

发文量

183

审稿时长

6-12 weeks

期刊介绍： IEEE Wireless Communications is tailored for professionals within the communications and networking communities. It addresses technical and policy issues associated with personalized, location-independent communications across various media and protocol layers. Encompassing both wired and wireless communications, the magazine explores the intersection of computing, the mobility of individuals, communicating devices, and personalized services. Every issue of this interdisciplinary publication presents high-quality articles delving into the revolutionary technological advances in personal, location-independent communications, and computing. IEEE Wireless Communications provides an insightful platform for individuals engaged in these dynamic fields, offering in-depth coverage of significant developments in the realm of communication technology.