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Edge Computing for Video Analytics in the Internet of Vehicles with Blockchain

Published: 16 November 2020 Publication History

Abstract

In intelligent transportation systems (ITS), video analytics is a potential technology to enhance the safety of the Internet of Vehicles (IoV). However, massive video data transmission and computation-intensive video analytics bring an overwhelming burden for IoV. Furthermore, due to the unstable network connection, the video data are not always reliable, which makes data sharing lack of security and scalability in IoV. In this paper, for video analytics applications, the multi-access edge computing (MEC) and blockchain technologies are integrated into IoV to optimize the transaction throughput as well as reducing the latency of the MEC system. Furthermore, the joint optimization problem is formulated as a Markov decision process (MDP), and the asynchronous advantage actor-critic (A3C) algorithm is adopted to solve this problem. Simulation results show that the proposed approach can fast converge and signifcantly improve the performance of blockchain-enabled IoV with MEC.

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    Published In

    cover image ACM Conferences
    DIVANet '20: Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications
    November 2020
    76 pages
    ISBN:9781450381215
    DOI:10.1145/3416014
    • General Chair:
    • Mirela Notare,
    • Program Chair:
    • Peng Sun
    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 the author(s) 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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    Publication History

    Published: 16 November 2020

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    Author Tags

    1. blockchain
    2. internet of vehicles
    3. video analytics

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    • Research-article

    Funding Sources

    • the China Postdoctoral Science Foundation
    • the National Natural Science Foundation of China

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    Overall Acceptance Rate 70 of 308 submissions, 23%

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    Cited By

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    • (2024)Smart Applications Based on IoTEmerging Technologies for Securing the Cloud and IoT10.4018/979-8-3693-0766-3.ch001(1-37)Online publication date: 23-Feb-2024
    • (2024)Blockchain-Based Intelligence Networking for Cooperative Positioning Towards Future Internet of VehiclesIEEE Transactions on Vehicular Technology10.1109/TVT.2023.332792673:3(3262-3276)Online publication date: Mar-2024
    • (2023)Enhanced 3D Sensor Deployment Method for Cooperative Sensing in Connected and Autonomous VehiclesProceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3616392.3624703(23-30)Online publication date: 30-Oct-2023
    • (2023)Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicular Edge ComputingWeb Information Systems Engineering – WISE 202310.1007/978-981-99-7254-8_16(205-219)Online publication date: 21-Oct-2023
    • (2022)Blockchain-Enabled Vehicular Ad Hoc Networks: A Systematic Literature ReviewSustainability10.3390/su1407391914:7(3919)Online publication date: 25-Mar-2022
    • (2022)Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network ApproachIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.311059123:8(12161-12175)Online publication date: Aug-2022
    • (2021)Algorithms Optimization for Intelligent IoV ApplicationsHandbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies10.4018/978-1-7998-6870-5.ch001(1-25)Online publication date: 2021
    • (2021)Blockchain for Securing AI Applications and Open InnovationsJournal of Open Innovation: Technology, Market, and Complexity10.3390/joitmc70301897:3(189)Online publication date: Sep-2021

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