2021/03/26 by Shih‐Chun Lin, Lin, Shih-Chun, Kwang‐Cheng Chen +3 · 1 citation
Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Opportunistic and Delay-Tolerant Networks #Parallel #Systems and Control (eess.SY) #Vehicular Ad Hoc Networks (VANETs) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2103.14225
openalex publication_date 2021/03/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
New paradigm shifts and 6G technological revolution in vehicular services have emerged toward unmanned driving, automated transportation, and self-driving vehicles. As the technology for autonomous vehicles becomes mature, real challenges come from reliable, safe, real-time connected transportation operations to achieve ubiquitous and prompt information exchanges with massive connected and autonomous vehicles. This article aims at introducing novel wireless distributed architectures that embed the edge computing capability inside software-defined vehicular networking infrastructure. Such edge networks consist of open-loop grant-free communications and computing-based control frameworks, which enable dynamic eco-routing with ultra-low latency and mobile data-driven orchestration. Thus, this work advances the frontiers of machine learning potentials and next-generation mobile system realization in vehicular networking applications.