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Deep Q Network–Driven Task Offloading for Efficient Multimedia Data Analysis in Edge Computing–Assisted IoV

Authors:

Lianyong QiAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 18, Issue 2s

Article No.: 124, Pages 1 - 24

https://doi.org/10.1145/3548687

Published: 06 October 2022 Publication History

Abstract

With the prosperity of Industry 4.0, numerous emerging industries continue to gain popularity and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the thriving intelligent industries, enjoys bright development prospects. However, at the same time, the reliability and availability of IoV applications are confronted with two major bottlenecks of time delay and energy consumption. To make matters worse, massive heterogeneous and multi-dimensional multimedia data generated on the IoV present a huge obstacle to effective data analysis. Fortunately, the advent of edge computing technology enables tasks to be offloaded to edge servers, which significantly reduces total overhead of IoV systems. Deep reinforcement learning (DRL), equipped with its excellent perception and decision-making capability, is undoubtedly a dominant technology to solve task offloading problems. In this article, we first employ an optimized Fuzzy C-means algorithm to cluster vehicles and other edge devices according to their respective service quality requirements. Then, we employ an election algorithm to assist in maintaining the stability of the IoV. Last, we propose a task-offloading algorithm based on the Deep Q Network (DQN) to acquire an optimal task offloading scheme. Massive simulation experiments demonstrate the superiority of our method in minimizing time delay and energy consumption.

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Index Terms

Deep Q Network–Driven Task Offloading for Efficient Multimedia Data Analysis in Edge Computing–Assisted IoV
1. Networks
  1. Network algorithms

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Information & Contributors

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 18, Issue 2s

June 2022

383 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3561949

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 06 October 2022

Online AM: 21 July 2022

Accepted: 23 June 2022

Revised: 11 May 2022

Received: 30 November 2021

Published in TOMM Volume 18, Issue 2s

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Funding Sources

Natural Science Foundation of Jiangsu Province of China
Financial and Science Technology Plan Project of Xinjiang Production and Construction Corps
National Natural Science Foundation of China
Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

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https://doi.org/10.3390/s24134069
Wang SMa XLi X(2024)A Parameter Adaptive Method for Image SmoothingTsinghua Science and Technology10.26599/TST.2023.901006829:4(1138-1151)Online publication date: Aug-2024
https://doi.org/10.26599/TST.2023.9010068
Balachander TRamana KMohana RSrivastava GGadekallu T(2024)Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless CommunicationTsinghua Science and Technology10.26599/TST.2023.901006529:3(698-720)Online publication date: Jun-2024
https://doi.org/10.26599/TST.2023.9010065
Zhao XYuan GQiu SXu CWei S(2024)A mobile edge computing-focused transferable sensitive data identification method based on product quantizationJournal of Cloud Computing10.1186/s13677-024-00662-413:1Online publication date: 8-May-2024
https://doi.org/10.1186/s13677-024-00662-4
Li GWu HWu JLi Z(2024)Efficient and secure privacy protection scheme and consensus mechanism in MEC enabled e-commerce consortium blockchainJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00652-613:1Online publication date: 9-May-2024
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Shu CChen YTan CLuo YDou H(2024)Enhancing trust transfer in supply chain finance: a blockchain-based transitive trust modelJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00557-w13:1Online publication date: 2-Jan-2024
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Guo ZHe XYang YQing LChen H(2024)DAG-YOLO: A Context-feature Adaptive Fusion Rotating Detection Network in Remote Sensing ImagesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3674978Online publication date: 27-Jun-2024
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Gao JXu XQi LDou WXia XZhou X(2024)Distributed Computation Offloading and Power Control for UAV-Enabled Internet of Medical ThingsACM Transactions on Internet Technology10.1145/3652513Online publication date: 16-Mar-2024
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Qiu HLi HWu QShi HWang LMeng FXu L(2024)Learning Offset Probability Distribution for Accurate Object DetectionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363721420:5(1-24)Online publication date: 22-Jan-2024
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Li YZhu LLiu SWang HYu FCai B(2024)Electric Vehicle Cluster Assisted Multi-Tier Vehicular Edge Computing System: Cross-System Framework Design and OptimizationIEEE Transactions on Vehicular Technology10.1109/TVT.2024.343050773:11(17384-17399)Online publication date: Nov-2024
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