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IEEE Access, 2020 Resource-intensive applications on smart vehicles is posing difficulties to the use of traditional cloud computing for computation offloading in vehicular networks.
Jianan Sun +5 more
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Collaborative Vehicular Edge Computing Networks: Architecture Design and Research Challenges
IEEE Access, 2019 The emergence of augmented reality (AR), autonomous driving and other new applications have greatly enriched the functionality of the vehicular networks. However, these applications usually require complex calculations and large amounts of storage, which
Renchao Xie +5 more
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Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks
IEEE Access, 2019 Vehicular networks are facing the challenges to support ubiquitous connections and high quality of service for numerous vehicles. To address these issues, mobile edge computing (MEC) is explored as a promising technology in vehicular networks by ...
Chao Yang +4 more
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IEEE Access, 2022 Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community. Advances in computer and communication technologies have made the dream of modern intelligent vehicles a ...
Abdul Waheed +6 more
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Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking
Sensors, 2021 With the development of smart vehicles and various vehicular applications, Vehicular Edge Computing (VEC) paradigm has attracted from academic and industry.
Zhiyuan Li, Ershuai Peng
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A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks [PDF]
PeerJ Computer Science, 2021 Vehicular edge computing (VEC) is a potential field that distributes computational tasks between VEC servers and local vehicular terminals, hence improve vehicular services. At present, vehicles’ intelligence and capabilities are rapidly improving, which
Salman Raza +5 more
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Street Smart in 5G: Vehicular Applications, Communication, and Computing
IEEE Access, 2022 Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside units, and other road users can collaborate to deliver novel services and
Ahmad Yousef Alhilal +4 more
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Joint optimization of network selection and task offloading for vehicular edge computing
Journal of Cloud Computing: Advances, Systems and Applications, 2021 Taking the mobile edge computing paradigm as an effective supplement to the vehicular networks can enable vehicles to obtain network resources and computing capability nearby, and meet the current large-scale increase in vehicular service requirements ...
Lujie Tang +4 more
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An efficient task offloading scheme in vehicular edge computing
Journal of Cloud Computing: Advances, Systems and Applications, 2020 Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular applications and high mobility scenarios, cost-efficient task offloading in the ...
Salman Raza +6 more
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Optimization strategies in NOMA-based vehicle edge computing network
物联网学报, 2021 Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile ...
Jianbo DU +5 more
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