skip to main content
10.1145/3616394.3618271acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

On the Integration of Ledger Technology and Edge Computing for Intelligent Transportation Systems

Published: 30 October 2023 Publication History

Abstract

Intelligent Transportation Systems (ITS) involve integrating information and communication technologies with traffic infrastructure and vehicles to support the development of more sustainable transportation systems. However, ITS face security, reliability, and efficiency challenges in storage and sharing real-time critical data. To address these issues, we propose an architecture based on edge computing and blockchain to enable secure data storage and sharing for ITS. By leveraging edge computing capabilities and blockchain's distributed ledger technology, our architecture enhances data security, ensures data integrity, and improves real-time data processing in ITS. We analyze a smart parking system application scenario, and the results demonstrate a significant reduction in average latency and storage usage, highlighting the positive impact of our solution on enhancing the overall performance and reliability of ITS.

References

[1]
Nasir Abbas, Yan Zhang, Amir Taherkordi, and Tor Skeie. 2018. Mobile Edge Computing: A Survey. IEEE Internet of Things Journal, Vol. 5, 1 (2018), 450--465.
[2]
Muhammad Alam, Joaquim Ferreira, and José Fonseca. 2016. Introduction to Intelligent Transportation Systems. Springer, Cham, 1--17.
[3]
George Dimitrakopoulos and Panagiotis Demestichas. 2010. Intelligent Transportation Systems. IEEE Veh. Technol. Mag., Vol. 5, 1 (2010), 77--84.
[4]
W.J. Fleming. 2001. Overview of automotive sensors. IEEE Sensors Journal, Vol. 1, 4 (2001), 296--308. https://doi.org/10.1109/7361.983469
[5]
Khaoula Hassoune, Wafaa Dachry, Fouad Moutaouakkil, and Hicham Medromi. 2016. Smart parking systems: A survey. In Proc. of the 11th SITA. IEEE, Mohammedia, Morocco, 1--6.
[6]
Muhammad Awais Khan, Saptarshi Ghosh, Sherif Adeshina Busari, Kazi Mohammed Saidul Huq, Tasos Dagiuklas, Shahid Mumtaz, Muddesar Iqbal, and Jonathan Rodriguez. 2021. Robust, Resilient and Reliable Architecture for V2X Communications. IEEE Trans. Intell. Transp. Syst., Vol. 22, 7 (2021), 4414--4430.
[7]
Arthur D. Little. 2014. The Future of Urban Mobility 2.0. https://www.adlittle.com/en/insights/viewpoints/future-urban-mobility-20-%E2%80%93-full-study. [Accessed: 2022--10--18].
[8]
Youshui Lu, Jingning Zhang, Yong Qi, Saiyu Qi, Yuanqing Zheng, Yuhao Liu, Hongyu Song, and Wei Wei. 2022. Accelerating at the Edge: A Storage-Elastic Blockchain for Latency-Sensitive Vehicular Edge Computing. IEEE Trans. Intell. Transp. Syst., Vol. 23, 8 (2022), 11862--11876.
[9]
Satoshi Nakamoto. 2008. Bitcoin: A Peer-to-Peer Electronic Cash System. https://bitcoin.org/bitcoin.pdf.
[10]
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, and Aruna Seneviratne. 2020. Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges. IEEE Communications Surveys & Tutorials, Vol. 22, 4 (2020), 2521--2549.
[11]
World Health Organization. 2022. Road traffic injuries. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. [Accessed: 2022--10--18].
[12]
Imtiaz Parvez, Ali Rahmati, Ismail Guvenc, Arif I. Sarwat, and Huaiyu Dai. 2018. A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions. IEEE Commun. Surv. Tutor., Vol. 20, 4 (2018), 3098--3130.
[13]
Pradip Kumar Sharma and Jong Hyuk Park. 2021. Blockchain-Based Secure Mist Computing Network Architecture for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst., Vol. 22, 8 (2021), 5168--5177.
[14]
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu. 2016. Edge Computing: Vision and Challenges. IEEE Internet Things J., Vol. 3, 5 (2016), 637--646.
[15]
Sushil Kumar Singh, Shailendra Rathore, and Jong Hyuk Park. 2020. BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence. Future Generation Computer Systems, Vol. 110 (2020), 721--743.
[16]
Tarik Taleb, Konstantinos Samdanis, Badr Mada, Hannu Flinck, Sunny Dutta, and Dario Sabella. 2017. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration. IEEE Communications Surveys & Tutorials, Vol. 19, 3 (2017), 1657--1681.
[17]
Luxiu Yin, Pengfei Li, and Juan Luo. 2021. Smart contract service migration mechanism based on container in edge computing. J. Parallel and Distrib. Comput., Vol. 152 (2021), 157--166.
[18]
Qingyi Zhu, Seng W. Loke, Rolando Trujillo-Rasua, Frank Jiang, and Yong Xiang. 2019. Applications of Distributed Ledger Technologies to the Internet of Things: A Survey. ACM Comput. Surv., Vol. 52, 6, Article 120 (nov 2019), bibinfonumpages34 pages.

Index Terms

  1. On the Integration of Ledger Technology and Edge Computing for Intelligent Transportation Systems

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    PE-WASUN '23: Proceedings of the Int'l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
    October 2023
    129 pages
    ISBN:9798400703706
    DOI:10.1145/3616394
    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].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 October 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. distributed ledger technologies
    2. edge computing
    3. intelligent transportation systems

    Qualifiers

    • Research-article

    Funding Sources

    • CNPq
    • FAPEMIG
    • São Paulo Research Foundation (FAPESP)
    • CAPES
    • FAPEAL

    Conference

    MSWiM '23
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 70 of 240 submissions, 29%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 54
      Total Downloads
    • Downloads (Last 12 months)26
    • Downloads (Last 6 weeks)5
    Reflects downloads up to 03 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media