Link Stability Based Optimized Routing Framework for Software Defined Vehicular Networks

Sudheera, Kalupahana Liyanage Kushan; Ma, Maode; Chong, J. Michael

doi:10.1109/tvt.2019.2895274

Cited by 62 publications

(35 citation statements)

References 22 publications

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“…Further, the authors in [9] considered the QoS of diverse applications in a proposed SDVN architecture, where low-delay and high-reliability communications can be achieved. Additionaly, some work on resource scheduling [10] and routing optimization [11] under the SDVN architecture has been done.…”

Section: A Sdvn Architecturementioning

confidence: 99%

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Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Landfeldt

Song

et al. 2020

IEEE Trans. Veh. Technol.

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Vehicles equipped with sensors can participate in mobile crowdsourcing applications. Vehicular Ad Hoc Networks (VANETs) based on Dedicated Short Range Communication (DSRC) are used to carry sensing data. However, multi-hop transmissions for gathering data to Road Side Units (RSUs) in VANETs suffer from low data rate and long end-to-end delay, which can hardly meet the QoS requirements of delay-sensitive services. This triggers the consideration of constituting a DSRC and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular network. Nevertheless, using cellular links to carry traffic can cause high cellular bandwidth costs. In this paper, we propose a Traffic Differentiated Clustering Routing (TDCR) mechanism in a Software Defined Network (SDN)-enabled hybrid vehicular network. The proposed mechanism includes a centralized one-hop clustering approach and a data delivery optimization method. Particularly, the optimization is to make a tradeoff between cellular bandwidth cost and end-to-end delay, for Cluster Heads (CHs) delivering their aggregated data either by multi-hop Vehicle-to-Vehicle (V2V) transmissions or by cellular networks. Since the problem is proven to be NP-hard, a two-stage heuristic algorithm is designed. We carry out simulations to evaluate the performance of our data collection scheme and the results show that it performs better than traditional mechanisms.

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Section: A Sdvn Architecturementioning

confidence: 99%

“…Single-path routing is adopted in this paper, hence each ordinary node must have one out-going link for one traffic flow. Constraints (11) and (12) ensure that the flows begin from their sources and end at the RSU, respectively. Flow conservation at relay nodes is guaranteed by (13).…”

Section: B Optimization Problemmentioning

confidence: 99%

Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Landfeldt

Song

et al. 2020

IEEE Trans. Veh. Technol.

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“…In dynamic VANET, link stability plays a vital role in increasing the packet delivery ratio. In [12], the authors proposed a novel routing scheme in SDVN (Software-Defined Vehicular Network) to forward the packets on multiple shortest paths.…”

Section: B Sd-vanet Architecturementioning

confidence: 99%

“…The programmable SDN architecture provides a flexible way to manage and control the traditional VANET architecture systematically. The main objective of programmable and logically centralized SDN architecture is to decouple the control plane from the data plane [11], [12], [13]. In SDN architecture, the unified controller (control plane) is responsible for monitoring, controlling, and managing the network resources efficiently.…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Networking (SDN) based VANET Architecture: Mitigation of Traffic Congestion

Adbeb¹,

Wu²

2020

IJACSA

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In VANETs (Vehicular Ad-hoc Networks), the number of vehicles increased continuously, leading to significant traffic problems like traffic congestion, a feasible path, and associated events like accidents. Though, the Intelligent Transportation System (ITS) providing excellent services, such as safety applications and emergency warnings. However, ITS has limitations regarding traffic management tasks, scalability, and flexibility because of the enormous number of vehicles. Therefore, extending the traditional VANET architecture is indeed a must. Thus, in the recent period, the design of the SD-VANETs (Software-Defined Networking defined VANETs) has gained significant interest and made VANET more intelligent. The SD-VANET architecture can handle the aforesaid VANET challenges. The centralized (logically) SDN architecture is programmable and also has global information about the VANET architecture. Therefore, it can effortlessly handle scalability, traffic management, and traffic congestion issues. The traffic congestion problem leads to longer trip times, decreases the vehicles' speed, and prolong average endto-end delay. Though, somewhere, some routes in the network are available with capacity, which can minimize the congestion problem and its characteristics. Therefore, we proposed heuristic algorithms called Congestion-Free Path (CFP) and Optimize CFP (OCFP), in SD-VANET architecture. The proposed algorithms address the traffic congestion issue and also provide a feasible path (less end-to-end delay) for a vehicle in VANET. We used the NS-3 simulator to evaluate the performance of the proposed algorithms, and for generating a real scenario of VANET traffic; we use the SUMO module. The results show that the proposed algorithms decrease road traffic congestion drastically compared to exiting approaches.

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“…In addition, the SDN concept together with EC is proposed as a prominent solution to existing challenges in vehicular networks. Both hierarchical and centralized SDVN architectures improve rapid packet delivery, low latency, and overhead communication [10][11][12][13]. Furthermore, SDVN integrated with network slicing, artificial neural network, and 5G technologies improves both on-demand routing protocols and bandwidth utilization [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration

Nkenyereye

Tama

et al. 2020

Sensors

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Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications. In addition, the migration of Virtual Machines (VM) over SDVC challenges the performance of cloud-based vehicular applications due the highly mobility of vehicles. However, the current literature that discusses VM migration in SDVC is very limited. In this paper, we first analyze the evolution of computation and networking technologies of SDVC with a focus on its architecture within the cloud-based vehicular environment. Then, we discuss the potential cloud-based vehicular applications assisted by the SDVC along with its ability to manage several VM migration scenarios. Lastly, we provide a detailed comparison of existing frameworks in SDVC that integrate the VM migration approach and different emulators or simulators network used to evaluate VM frameworks’ use cases.

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Link Stability Based Optimized Routing Framework for Software Defined Vehicular Networks

Cited by 62 publications

References 22 publications

Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Software-Defined Networking (SDN) based VANET Architecture: Mitigation of Traffic Congestion

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration

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