Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks With Mobile Edge Computing in Smart City

New Cross-Domain QoE Guarantee Method Based on Isomorphism Flow

“…Paper [5] proposes a QoE-driven framework named Smart Media Pricing (SMP) to price the QoE for IoT multimedia services, which is translated to a game theoretical QoE maximization problem. Paper [6] proposes a novel vehicle network architecture in the smart city scenario, in which a joint resource management scheme is proposed to mitigate the network congestion with the joint optimization of caching, networking and computing resources.…”

“…ith increasing in personalized service requirements and the number of smart objects and/or devices such as smart phones and smart TVs in Internet of Things (IoT), which can communicate and interact with each other via heterogeneous networks (e.g., Wireless Fidelity (WiFi) Differentiated Services (DiffServe), Long Term Evolution (LTE) and Blue-tooth) [1] [2][3] [4], multimedia traffics are gaining considerable popularity in IoT [5], which requires very different Quality of Experience (QoE), and could be delivered through the routes with different features to meet their QoE requirements with the lowest costs [6]. Especially in real time IoT applications, multimedia traffic may experience network Manuscript The server N Fig.…”

“…Although some excellent works have been done on end-to-end QoE provisioning in IoT [6], very little efforts are made on utilizing QoE classification to provide end-to-end QoE provisioning. To the best of our knowledge, only a few existing studies have researched the end-to-end QoE provisioning issues in IoT.…”

Intelligent Resource Allocation for Utility Optimization in RSU-Empowered Vehicular Network

“…However, with the increasing number of delay-sensitive vehicular applications, this way may not be applicable due to the long response delay caused by the backbone network congestion and delay. Accordingly, to reduce the response latency, mobile edge computing and vehicular fog computing have attracted extensive attention in ITS [7], [12]- [14], [14].…”

“…Considering a smart city scenario where the number of vehicular services is rapidly increasing, to jointly optimize caching, computing resources and networking, Si et.al. in [12] present a vehicular network architecture which combines the software-defined networking paradigm. In this architecture both the evolved node Bs and on-board units (OBUs) can serve as edge nodes to provision caching and computing resources.…”