Douglas L. L. Moura
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.
- 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.Google Scholar
Cross Ref
- Muhammad Alam, Joaquim Ferreira, and José Fonseca. 2016. Introduction to Intelligent Transportation Systems. Springer, Cham, 1--17.Google Scholar
- George Dimitrakopoulos and Panagiotis Demestichas. 2010. Intelligent Transportation Systems. IEEE Veh. Technol. Mag. , Vol. 5, 1 (2010), 77--84.Google ScholarCross Ref
- W.J. Fleming. 2001. Overview of automotive sensors. IEEE Sensors Journal, Vol. 1, 4 (2001), 296--308. https://doi.org/10.1109/7361.983469Google ScholarCross Ref
- 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.Google ScholarCross Ref
- 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.Google ScholarDigital Library
- 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].Google Scholar
- 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.Google ScholarCross Ref
- Satoshi Nakamoto. 2008. Bitcoin: A Peer-to-Peer Electronic Cash System. https://bitcoin.org/bitcoin.pdf.Google Scholar
- 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.Google ScholarCross Ref
- World Health Organization. 2022. Road traffic injuries. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. [Accessed: 2022--10--18].Google Scholar
- 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.Google ScholarDigital Library
- 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.Google ScholarDigital Library
- 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.Google ScholarCross Ref
- 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.Google ScholarCross Ref
- 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.Google ScholarDigital Library
- 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.Google ScholarCross Ref
- 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.Google Scholar
Index Terms
- On the Integration of Ledger Technology and Edge Computing for Intelligent Transportation Systems
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