QoE-Based Flow Management in Software Defined Vehicular Networks

Bozkaya, Elif; Canberk, Berk

doi:10.1109/glocomw.2015.7414017

Cited by 23 publications

(17 citation statements)

References 8 publications

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“…To further reduce the number of transmission requests, a RSU with a higher probability of receiving data is selected. Different methods for measuring the quality of RSU connections, including Nakagami fading model [4] and Kriging weights [5], are applied for this purpose. For example, in Fig.…”

Section: Basic Principle Of Routing In Sdvnmentioning

confidence: 99%

“…Centralized and Hybrid: For centralized routing schemes [4] [7] [8], the controller provides per-flow routes to vehicles which are more efficient for data message transmission based on the computation of the global-view controller. In contrast, hybrid routing schemes eliminate the burden of a central controller by moving the regional routing duty from central controller to local controller [3] [5]. Thus, we can classify SDVN routing schemes into centralized routing and hybrid routing.…”

Section: Classificationsmentioning

confidence: 99%

“…Thus, the update of the network topology can be processed in two modes, beacon-based mode or prediction-based mode. All vehicle status information is collected by receiving beacons sent by vehicles in beacon-based mode [3] [5]. In contrast, the controller only collects a limited number of beacons from vehicles and predicts the link status based on the historical data [7] [11].…”

Section: Beacon-based and Prediction-basedmentioning

confidence: 99%

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Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges

Zhao

Al‐Dubai

et al. 2021

IEEE Intell. Transport. Syst. Mag.

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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, in general, has been lightly addressed in the literature. To fill this gap, this article explores the potential of SDVNs from the aspect of routing and studies the design principles of routing schemes in SDVNs and classifies the current routing solutions based on different criteria. SDVN routing schemes are then compared through comprehensive analysis, and key open issues and opportunities for future research directions are discussed.

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Section: Basic Principle Of Routing In Sdvnmentioning

confidence: 99%

Section: Classificationsmentioning

confidence: 99%

Section: Beacon-based and Prediction-basedmentioning

confidence: 99%

See 1 more Smart Citation

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges

Zhao

Al‐Dubai

et al. 2021

IEEE Intell. Transport. Syst. Mag.

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“…For instance, if a vehicle A is out of the coverage range of the RSU, but can get the content service from another neighbor vehicle B, which is currently within the RSU coverage range, the RSUC could allocate more resources to vehicle B to allow content delivery to vehicle A in an Information Centric Networking (ICN) fashion [14]. Similarly, an SDN controller can manage the number of data flows per RSU, making sure each flow is served according to the expected QoS [10]. …”

Section: Sdn For Resource and Mobility Managementmentioning

confidence: 99%

“…Some aspects of the benefits offered by SDN to VANETs have been investigated in the literature [7,8,9,10], but never analyzed with respect to the impact that this network paradigm may have on security and privacy when applied in VANETs. In fact, security-related issues still represent a fundamental concern that could hinder SDN growth and development to its full potential [11].…”

Section: Introductionmentioning

confidence: 99%

Enabling SDN in VANETs: What is the Impact on Security?

Maio

Palattella

Soua

et al. 2016

Sensors

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The demand for safe and secure journeys over roads and highways has been growing at a tremendous pace over recent decades. At the same time, the smart city paradigm has emerged to improve citizens’ quality of life by developing the smart mobility concept. Vehicular Ad hoc NETworks (VANETs) are widely recognized to be instrumental in realizing such concept, by enabling appealing safety and infotainment services. Such networks come with their own set of challenges, which range from managing high node mobility to securing data and user privacy. The Software Defined Networking (SDN) paradigm has been identified as a suitable solution for dealing with the dynamic network environment, the increased number of connected devices, and the heterogeneity of applications. While some preliminary investigations have been already conducted to check the applicability of the SDN paradigm to VANETs, and its presumed benefits for managing resources and mobility, it is still unclear what impact SDN will have on security and privacy. Security is a relevant issue in VANETs, because of the impact that threats can have on drivers’ behavior and quality of life. This paper opens a discussion on the security threats that future SDN-enabled VANETs will have to face, and investigates how SDN could be beneficial in building new countermeasures. The analysis is conducted in real use cases (smart parking, smart grid of electric vehicles, platooning, and emergency services), which are expected to be among the vehicular applications that will most benefit from introducing an SDN architecture.

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Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks

Jiang

2020

Trans Emerging Tel Tech

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To improve user experience and allocate reasonably spectrum resources, the quality of experience (QoE) for user is introduced as an indicator to express the user's satisfaction with the service provided. The QoE‐driven resource allocation optimization algorithm for orthogonal frequency‐division multiple is designed to maximize the user's QoE and optimize resource allocation in vehicular cloud (VC) long‐term evolution (LTE) networks. Therein, a novel QoE model which reflects delay, transmission rate, and service price by mean opinion score (MOS) is proposed to identify different services. Furthermore, the characteristics of delay, transmission rate, and service price are also analyzed specifically at different time slots, respectively. Simulation results show that the proposed resource allocation algorithm could achieve a better QoE in the field of user satisfaction and throughput compared with other traditional algorithms, especially when the number of vehicles is greater than 30 or 22, respectively. Meanwhile, the impact of fairness on QoE and throughput are also improved apparently when the number of vehicles is small. In end, the QoE‐mode brings performance improvements on delay, transmission rate, and service price compared with other single X mode.

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QoE-Based Flow Management in Software Defined Vehicular Networks

Cited by 23 publications

References 8 publications

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges

Enabling SDN in VANETs: What is the Impact on Security?

Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks

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