Resilient Connectivity Patterns for Electric Vehicle Fleets
DOI:
https://doi.org/10.22399/ijcesen.5023Keywords:
Multi-Network Routing, Context-Aware Prioritization, Predictive Connectivity, Fleet Communication, Vehicle NetworksAbstract
Electric vehicle fleet operations face significant connectivity challenges across heterogeneous network environments, requiring innovative solutions for seamless communication maintenance. This article presents a comprehensive connectivity architecture comprising Multi-Network Adaptive Routing (MNAR), Context-Aware Data Prioritization (CADP), and Predictive Connectivity Health Modeling (PCHM) frameworks designed to address critical gaps in current fleet communication systems. The MNAR framework enables dynamic network discovery and intelligent switching across cellular, Wi-Fi, satellite, and mesh technologies through real-time performance optimization algorithms. CADP implements hierarchical data classification and priority assignment mechanisms that optimize bandwidth utilization based on operational context and mission criticality. PCHM employs machine learning algorithms for connectivity degradation prediction and proactive network management strategies. The integrated security architecture addresses multi-network vulnerabilities through end-to-end encryption, zero-trust authentication, and comprehensive intrusion detection systems. Performance evaluation demonstrates substantial improvements in connectivity uptime, latency reduction, bandwidth efficiency, and cost optimization compared to traditional single-network approaches. The proposed architecture exhibits superior scalability across diverse fleet deployments while maintaining consistent performance characteristics. Implementation frameworks include microservices-based deployment, container orchestration, and blockchain integration for secure fleet-to-fleet communication. Validation through simulation environments and real-world pilot implementations confirms system effectiveness across urban, rural, and challenging operational scenarios. Future development opportunities encompass 5G network slicing integration, quantum-resistant encryption protocols, and AI-driven autonomous optimization capabilities with cross-industry applicability to maritime and aerospace domains.
References
[1] Aidin Shaghaghi et al., "Optimal scheduling and uncertainty-aware planning of electric vehicles charging stations for enhanced power distribution network performance," ScienceDirect. 2026. https://www.sciencedirect.com/science/article/pii/S2211467X26000192https://www.sciencedirect.com/science/article/pii/S2211467X26000192
[2] Maria Drolence Mwanje et al., "Cybersecurity analysis of connected vehicles," ResearchGate, 2024. https://www.researchgate.net/publication/379782725_Cyber_security_analysis_of_connected_vehicles
[3] Md. Mahmudul Islam et al., "Software-defined vehicular network (SDVN): A survey on architecture and routing," ScienceDirect, 2021. https://www.sciencedirect.com/science/article/abs/pii/S1383762120302113
[4] Leo Mendiboure et al., "Edge Computing Based Applications in Vehicular Environments: Comparative Study and Main Issues," JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019. https://jcst.ict.ac.cn/fileup/1000-9000/PDF/2019-4-11-9021.pdf
[5] Guang-Li Huang et al., "Context-Aware Machine Learning for Intelligent Transportation Systems: A Survey," IEEE Xplore, 2022. https://ieeexplore.ieee.org/document/9931527
[6] Claudio Casetti et al., "AI/ML-based services and applications for 6G-connected and autonomous vehicles," ScienceDirect, 2024. https://www.sciencedirect.com/science/article/abs/pii/S1389128624006868
[7] Shah Khalid Khan et al., "Cybersecurity framework for connected and automated vehicles: A modelling perspective," ScienceDirect, 2025. https://www.sciencedirect.com/science/article/pii/S0967070X24003561
[8] Sadia Hussain et al., "Blockchain-Enabled Secure Communication Framework for Enhancing Trust and Access Control in the Internet of Vehicles (IoV)," IEEE Xplore, 2024. https://ieeexplore.ieee.org/document/10604867
[9] Ruhul Amin Khalil et al., "Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges," ResearchGate, 2024. https://www.researchgate.net/publication/378537801_Advanced_Learning_Technologies_for_Intelligent_Transportation_Systems_Prospects_and_Challenges
[10] Livinus Tuyisenge et al., "Network Architectures in Internet of Vehicles (IoV): Review, Protocols Analysis, Challenges and Issues: 5th International Conference, IOV 2018, Paris, France, November 20–22, 2018, Proceedings," ResearchGate, 2018. https://www.researchgate.net/publication/329069523_Network_Architectures_in_Internet_of_Vehicles_IoV_Review_Protocols_Analysis_Challenges_and_Issues_5th_International_Conference_IOV_2018_Paris_France_November_20-22_2018_Proceedings
[11] Eun-Kyu Lee et al., "Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs," ResearchGate, 2016. https://www.researchgate.net/publication/307892108_Internet_of_Vehicles_From_intelligent_grid_to_autonomous_cars_and_vehicular_fogs
[12] Ijaz Ahmad et al., "Overview of 5G Security Challenges and Solutions," IEEE Xplore 2018. https://ieeexplore.ieee.org/document/8334918
[13] Adlen Ksentini et al., "A Markov Decision Process-based service migration procedure for follow me cloud," in Proc. IEEE ICC, 2014. https://ieeexplore.ieee.org/document/6883509
[14] Yuyi Mao et al., "A Survey on Mobile Edge Computing: The Communication Perspective," IEEE Communications Surveys & Tutorials, 2017. https://ieeexplore.ieee.org/document/8016573
[15] Nasir Abbas et al., "Mobile Edge Computing: A Survey," IEEE Xplore, 2018. https://ieeexplore.ieee.org/document/8030322
[16] Jingjing Wang et al., "Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones," IEEE Xplore, 2017. https://ieeexplore.ieee.org/document/7995044
[17] Ala Al-Fuqaha et al., "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," IEEE Xplore, 2015. https://ieeexplore.ieee.org/document/7123563
[18] Jonathan Petit, Steven E. Shladover, "Potential Cyberattacks on Automated Vehicles," IEEE Xplore, 2014. https://ieeexplore.ieee.org/document/6899663
[19] Hamssa Hasrouny et al., "VANet security challenges and solutions: A survey," ScienceDirect, 2017. https://www.sciencedirect.com/science/article/abs/pii/S2214209616301231
[20] Sherali Zeadally et al., "Vehicular ad hoc networks (VANETS): status, results, and challenges," Springer Nature Link, 2010. https://link.springer.com/article/10.1007/s11235-010-9400-5
[21] H. Hartenstein; L.P. Laberteaux, "A tutorial survey on vehicular ad hoc networks," IEEE Xplore, 2008. https://ieeexplore.ieee.org/document/4539481
[22] Francisco J. Martinez et al., "Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks," IEEE Xplore, 2010. https://ieeexplore.ieee.org/document/5609617
[23] Claudia Campolo et al., "Vehicular ad hoc Networks," Springer, 2015. https://link.springer.com/book/10.1007/978-3-319-15497-8
[24] Mihail L. Sichitiu; Maria Kihl, "Inter-vehicle communication systems: a survey," IEEE Xplore, 2008. https://ieeexplore.ieee.org/document/4564481
[25] Kashif Dar et al., "Wireless communication technologies for ITS applications [Topics in Automotive Networking]," IEEE Xplore, 2010. https://ieeexplore.ieee.org/document/5458377
[26] Theodore L. Willke et al., "A survey of inter-vehicle communication protocols and their applications," IEEE Xplore, 2009. https://ieeexplore.ieee.org/document/5039580
[27] Saleh Yousefi et al., "Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives," in IEEE Xplore, 2007. https://ieeexplore.ieee.org/document/4068700
[28] John B. Kenney, "Dedicated Short-Range Communications (DSRC) Standards in the United States," Proceedings of the IEEE, 2011. https://ieeexplore.ieee.org/document/5888501
[29] Lin Cheng et al., "Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band," IEEE Journal on Selected Areas in Communications, 2007. https://ieeexplore.ieee.org/document/4346439
[30] IEEE Standards Association, "802.11p-2010 - IEEE Standard for Information technology-- Local and metropolitan area networks-- Specific requirements-- Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments," IEEE Std 802.11p-2010, 2010. https://ieeexplore.ieee.org/document/5514475
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
