State-of-the-Art in Autonomous Electric Vehicle Communication Networks: Methods and Limitations
Zhang Wei Liang
Northeast Normal University at Dalian (大连东北师范大学)
Chen Mei Ling
Guizhou Normal University (贵州师范大学)
Keywords: Autonomous electric vehicles, Communication networks, Methods, Limitations, Wireless technologies
Abstract
Autonomous electric vehicles (AEVs) heavily rely on efficient communication networks to enable real-time data sharing, coordinated decision-making, and enhanced safety and efficiency. This research abstract provides an overview of the state-of-the-art methods and discusses the limitations associated with autonomous electric vehicle communication networks. The current methods include Dedicated Short-Range Communications (DSRC), Cellular Vehicle-to-Everything (C-V2X), ad-hoc mesh networks, and cloud-based communication. These methods enable vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-network (V2N) communication, each with its own advantages and challenges. However, several limitations must be addressed to ensure the reliability and scalability of AEV communication networks. These limitations include bandwidth and latency constraints, network coverage and reliability issues, security and privacy concerns, and the need for standardization and interoperability. The demand for high-bandwidth communication, low-latency data exchange, and uninterrupted network coverage poses significant challenges. Moreover, ensuring robust security measures and addressing privacy concerns are vital for the successful deployment of AEV communication networks. To overcome these limitations, ongoing research and development efforts are focused on improving wireless communication technologies, network optimization techniques, and cybersecurity measures. Innovations in these areas will contribute to the advancement of AEV communication networks, enabling seamless and reliable data exchange among vehicles, infrastructure, and the cloud. Future directions include exploring emerging technologies, such as 5G and beyond, developing efficient network management strategies, and fostering collaboration among stakeholders for standardization and interoperability.
