Software defined networking-based vehicular Adhoc Network with Fog Computing

Truong, Nguyen Binh; Lee, Gyu Myoung; Ghamri‐Doudane, Yacine

doi:10.1109/inm.2015.7140467

Cited by 359 publications

(203 citation statements)

References 18 publications

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“…The VANETs have been viewed as one of the most enabling technologies for "connected car", but huge amount of traffic data bring some challenges to VANETs, such as unbalanced traffic flow [9]. In order to break the bottleneck of communication, we consider two emerging network paradigms: 5G and SDN.…”

Section: Communication Layermentioning

confidence: 99%

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

et al. 2017

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Abstract:With the increasing number of vehicle and traffic jams, the urban-traffic management is becoming a serious issue. In this article, we propose novel four-tier architecture for urban-traffic management with the convergence of vehicle ad hoc networks (VANETs), 5G wireless network, software-defined network (SDN), and mobile-edge computing (MEC) technologies. The proposed architecture provides better communication and rapider responsive speed in a more distributed and dynamic manner. The practical case of rapid accident rescue can significantly cut down the time for rescue. Key technologies with respect to vehicle localization, data pre-fetching, traffic lights control, and traffic prediction are also discussed. Obviously, the novel architecture shows noteworthy potential for alleviating the traffic congestion and improving the efficiency of urban-traffic management.

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Section: Communication Layermentioning

confidence: 99%

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

et al. 2017

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“…In short, the aim of fog computing is to place cloud resources, close to mobile users [55]. A FSDN is proposed in [58], which combines the Software Defined Networking (SDN) and Fog computing.…”

Section: Open Fog Consortiummentioning

confidence: 99%

Multi-access edge computing: open issues, challenges and future perspectives

Shahzadi¹,

et al. 2017

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Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience (QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in the realm of 5G networks, targets to enhance the network efficiency by harnessing effectiveness of both cloud computing and mobile devices in user's proximity. Keeping in view the far ranging impact of Edge Cloud Computing in future mobile generations, a comprehensive review of the prevalent Edge Cloud Computing frameworks and approaches is presented with a detailed comparison of its classifications through various QoS metrics (pertinent to network performance and overheads associated with deployment/migration). Considering the knowledge accumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on sate-of-the-art and future research directions for multi-access mobile edge computing.

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“…In a fog-based SDN architecture for VANETs proposed in literature [28], the control of the network is shared between the SDN controller and local agents, which are located both within some RSUs and wireless nodes. Vehicles are considered as SDN wireless nodes, equipped with WiMax/3G/4G/ LTE interfaces mostly for control communication, and WiFi/WAVE interface for data communication.…”

Section: B Sdn Design For Vanetsmentioning

confidence: 99%

Content and Context Aware Strategies for QoS Support in VANETs

Rizzo

Palattella

Braun

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Abstract-The increasing interest in autonomous coordinated driving and in proactive safety services, exploiting the wealth of sensing and computing resources which are gradually permeating the urban and vehicular environments, is making provisioning of high levels of QoS in vehicular networks an urgent issue. At the same time, the spreading model of a smart car, with a wealth of infotainment applications, calls for architectures for vehicular communications capable of supporting traffic with a diverse set of performance requirements. So far efforts focused on enabling a single specific QoS level. But the issues of how to support traffic with tight QoS requirements (no packet loss, and delays inferior to 1ms), and of designing a system capable at the same time of efficiently sustaining such traffic together with traffic from infotainment applications, are still open. In this paper we present the approach taken by the CONTACT project to tackle these issues. The goal of the project is to investigate how a VANET architecture, which integrates contentcentric networking, software-defined networking, and context aware floating content schemes, can properly support the very diverse set of applications and services currently envisioned for the vehicular environment.

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Software defined networking-based vehicular Adhoc Network with Fog Computing

Abstract: Abstract-Vehicular

Cited by 359 publications

References 18 publications

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

Multi-access edge computing: open issues, challenges and future perspectives

Content and Context Aware Strategies for QoS Support in VANETs

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