Software-Defined Vehicular Networking: Opportunities and Challenges
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DOI: 10.1109/access.2020.3042717
Abstract: Over the last ten years, Vehicular Ad Hoc Networks (VANETs) have received significant attention from the academic and industrial communities alike. VANETs are a particular type of mobile ad hoc network originally designed for the… read more here.
Keywords: vehicular networking; networking opportunities; software defined; software ... See more keywords
SDVEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
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DOI: 10.1109/mcom.004.2001124
Abstract: New paradigm shifts and 6G technological rev-olution in vehicular services have emerged toward unmanned driving, automated transportation, and self-driving vehicles. As the technology for autonomous cars becomes mature, real challeng-es come from reliable, safe, real-time… read more here.
Keywords: low latency; software defined; ultra low; edge computing ... See more keywords
Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges
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DOI: 10.1109/mits.2019.2953557
Abstract: Software-defined vehicular networks (SDVN) is a promising technology to overcome the limitations of current vehicular networking. However, existing vehicular routing schemes are not equipped to handle communication in SDVNs. In addition, routing schemes in SDVNs,… read more here.
Keywords: routing schemes; vehicular networks; software defined; defined vehicular ... See more keywords
Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3025684
Abstract: The appropriate design of a vehicular ad hoc network (VANET) has become a pivotal way to build an efficient smart transportation system, which enables various applications associated with traffic safety and highly-efficient transportation. VANETs are… read more here.
Keywords: software; software defined; defined vehicular; vehicular networks ... See more keywords
Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks
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DOI: 10.1109/tits.2022.3166864
Abstract: Software-defined vehicular networks (SDVN) can help analyze and reconfigure networks. Massive data generation in autonomous vehicles can lead to issues in network configuration, routing, network characteristics, and system load factors. Load balancing in vehicle sensors… read more here.
Keywords: active learning; software defined; load balancing; defined vehicular ... See more keywords