How to Cite
Abstract
Currently, many Internet of Things (IoT) data exchanges are insecure, opaque, expensive, susceptible to fraud, or prone to error. One approach to improving the trustworthiness of this data and communication is through blockchains. We introduce a new set of connectivity service options that define two broad categories of services. The first is AVs engaging in a direct peer-to-peer connection to each other using a range of technologies. The second is the establishment of a link to an access point (wired, fiber, or wireless, such as Wi-Fi/DSRC/5G/4GLTE) connecting the AV to each other as well as dynamically to other access points.
Autonomy in vehicles is poised to revolutionize the transportation sector. In the dynamic fleet management system for AVs, there are two main techniques demanded: AV to infrastructure communication and the reliable peer-to-peer communication amongst AVs.
References
S. Kumar, S. Patel, and M. Alazab, "Real-Time Traffic Monitoring Using IoT-Enabled Smart Vehicles," IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3235-3244, March 2021.
H. Zeng, J. Cao, and K. Zheng, "An IoT-Based Dynamic Route Planning Approach for Autonomous Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1458-1468, March 2021.
L. Zhang, Y. Wang, and X. Li, "Fleet Management in the Era of Autonomous Vehicles: An IoT-Based Approach," IEEE Access, vol. 9, pp. 48620-48629, 2021.
J. Chen, Q. Meng, and Y. Liu, "An Integrated IoT Framework for Fleet Management in Smart Cities," IEEE Internet of Things Journal, vol. 7, no. 9, pp. 7895-7904, September 2020.
A. Y. Al-Saadi, M. Z. A. Bhuiyan, and M. Alrubaian, "IoT-Based Dynamic Fleet Management System for Intelligent Transportation," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3395-3405, August 2020.
P. Ghosh, S. Banerjee, and A. Mukherjee, "Smart Fleet Management System Using IoT and Machine Learning," IEEE Internet of Things Journal, vol. 7, no. 11, pp. 11298-11306, November 2020.
M. S. Hossain and G. Muhammad, "Cloud-Assisted Industrial Internet of Things (IIoT) - Enabled Framework for Fleet Management in Industry 4.0," IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7277-7285, August 2020.
C. Xu, R. Zhang, and T. Qiu, "IoT-Based Intelligent Traffic Management System for Smart Cities," IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2293-2302, April 2020.
A. Nayyar and V. Puri, "A Comprehensive Review of Cluster-Based Energy Efficient Routing Protocols for Wireless Sensor Networks," IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6557-6583, August 2019.
Tatineni, Sumanth. "Beyond Accuracy: Understanding Model Performance on SQuAD 2.0 Challenges." International Journal of Advanced Research in Engineering and Technology (IJARET) 10.1 (2019): 566-581.
Vemoori, V. “Towards Secure and Trustworthy Autonomous Vehicles: Leveraging Distributed Ledger Technology for Secure Communication and Exploring Explainable Artificial Intelligence for Robust Decision-Making and Comprehensive Testing”. Journal of Science & Technology, vol. 1, no. 1, Nov. 2020, pp. 130-7, https://thesciencebrigade.com/jst/article/view/224.
Mahammad Shaik. “Reimagining Digital Identity: A Comparative Analysis of Advanced Identity Access Management (IAM) Frameworks Leveraging Blockchain Technology for Enhanced Security, Decentralized Authentication, and Trust-Centric Ecosystems”. Distributed Learning and Broad Applications in Scientific Research, vol. 4, June 2018, pp. 1-22, https://dlabi.org/index.php/journal/article/view/2.
Vemori, Vamsi. "Towards Safe and Equitable Autonomous Mobility: A Multi-Layered Framework Integrating Advanced Safety Protocols, Data-Informed Road Infrastructure, and Explainable AI for Transparent Decision-Making in Self-Driving Vehicles." Human-Computer Interaction Perspectives 2.2 (2022): 10-41.
M. T. Nguyen and P. Y. Liu, "An Adaptive Traffic Control System Using IoT-Enabled Dynamic Route Optimization for Autonomous Vehicles," IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2567-2577, April 2021.
K. Xu, Z. Li, and L. Zhang, "A Blockchain-Based IoT Framework for Dynamic Fleet Management in Smart Cities," IEEE Access, vol. 9, pp. 17657-17667, 2021.
F. W. Zhou, Y. Xu, and J. Wu, "IoT-Based Framework for Real-Time Fleet Monitoring and Management," IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp. 6025-6035, June 2020.
S. J. Lee and K. Kim, "A Real-Time Fleet Management System Using IoT and Blockchain," IEEE Access, vol. 8, pp. 12884-12895, 2020.
T. Wang, X. Zhou, and Y. Feng, "IoT-Enabled Predictive Maintenance for Fleet Management in Smart Cities," IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 4125-4134, June 2020.
D. N. Nguyen, M. H. Vu, and Q. H. Vuong, "Efficient IoT-Driven Fleet Management System for Autonomous Vehicles," IEEE Access, vol. 8, pp. 120345-120354, 2020.
C. Liu, S. K. Das, and Y. Liu, "A Context-Aware IoT Framework for Dynamic Fleet Management," IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4554-4563, May 2020.
E. Koutroulis and F. Blaabjerg, "Smart IoT-Based Fleet Management System for Autonomous Vehicles," IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 4265-4274, September 2020.
S. Lin, H. Wu, and J. Miao, "IoT-Based Adaptive Traffic Management System for Autonomous Vehicles," IEEE Access, vol. 8, pp. 10256-10266, 2020.
W. Zhang, H. Yin, and J. Wang, "An IoT-Enhanced Dynamic Fleet Management Approach for Smart Logistics," IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 6214-6224, September 2020.
X. Wang, Y. Liu, and G. Wu, "IoT-Driven Fleet Management for Autonomous Vehicles in Smart Cities," IEEE Internet of Things Journal, vol. 7, no. 7, pp. 6592-6601, July 2020.
Y. Zhang, J. Tang, and Y. Sun, "IoT-Enabled Smart Fleet Management System for Autonomous Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 3, pp. 1235-1244, March 2020.
K. Li, H. Chen, and Z. Li, "A Comprehensive IoT Framework for Dynamic Fleet Management in Urban Environments," IEEE Access, vol. 8, pp. 213567-213578, 2020.
Q. Zhang, X. Wang, and T. Yang, "IoT-Driven Intelligent Fleet Management System for Efficient Urban Mobility," IEEE Transactions on Industrial Electronics, vol. 67, no. 9, pp. 7436-7445, September 2020.