SDVN: enabling rapid network innovation for heterogeneous vehicular communication

He, Zongjian; Cao, Jiannong; Liu, Xuefeng

doi:10.1109/mnet.2016.7513858

Cited by 181 publications

(91 citation statements)

References 14 publications

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“…In absence of this intelligence, network resources could be jeopardized when the size of the network grows [14]. Figure 2 illustrates a typical SDN-enabled architecture for VANETs, which is in line with those that have been proposed so far in literature [7,13]. We now describe its main constituent parts:…”

Section: Sdn Benefits In Vanetsmentioning

confidence: 63%

“…The desired behavior is translated into a set of rules that can be changed when necessary (e.g. prioritizing a specific data flow) according to requirements driven by VANET applications [13]. Hence the controller might have coarsegrained control over the whole network while forwarding nodes may have local intelligence and apply fine-grained decision policies.…”

Section: Sdn Benefits In Vanetsmentioning

confidence: 99%

“…In VANET scenarios, OpenFlow should be redesigned to adapt to nodes mobility and the intermittent connectivity in the data plane. Recently, an extension of OpenFlow was proposed in [13], allowing vehicles to report positions and velocity. Nevertheless, no technical details on how this extension is implemented are provided.…”

Section: Sdn Benefits In Vanetsmentioning

confidence: 99%

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A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs

et al. 2017

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Content dissemination in Vehicular Ad-hoc Networks (VANETs) has the potential to enable a myr- iad of applications, ranging from advertising, traffic and emergency warnings to infotainment. This variety in applications and services calls for mechanisms able to optimize content storing, retrieval and forwarding among vehicles, without jeopardizing network resources. Content Centric Networking (CCN), takes advantage of inherent content redundancy in the network in order to decrease the utilization of network resources, improve response time and content availability, coping efficiently with some of the effects of mobility. Floating Content (FC), on the other hand, holds potential to implement efficiently a large amount of vehicular applications thanks to its property of geographic content replication, while Software Defined Networking (SDN), is an attractive solution for the lack of flexibility and dynamic programmability that characterizes current VANET architectures. By implementing a logical centralization of the network, SDN enables dynamic and efficient management of network resources.In this paper, for a few reference scenarios, we illustrate how approaches that combine CCN, FC and SDN enable an innovative adaptive VANET architecture able to efficiently accommodate to intermittent connectivity, fluctuating node density and mobility patterns on one side and application performance and network resources on the other side, aiming to achieve high QoS. For each scenario, we highlight the main open research challenges, and we describe possible solutions to improve content dissemination and reduce replication without affecting content availability.

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Section: Sdn Benefits In Vanetsmentioning

confidence: 63%

Section: Sdn Benefits In Vanetsmentioning

confidence: 99%

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A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs

et al. 2017

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“…Route prediction can be included to estimate the possible location when vehicles are disconnected. A vehicle's future route can be obtained from the GPS or navigation system used by the vehicle [45]. It can also manage event detection and the switch-status update policy.…”

Section: Software-defined Network In Vanetsmentioning

confidence: 99%

Challenges of Future VANET and Cloud‐Based Approaches

Shrestha

Bajracharya

Nam

2018

Wireless Communications and Mobile Computing

121

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.Vehicular ad hoc networks (VANETs) have been studied intensively due to their wide variety of applications and services, such as passenger safety, enhanced traffic efficiency, and infotainment. With the evolution of technology and sudden growth in the number of smart vehicles, traditional VANETs face several technical challenges in deployment and management due to less flexibility, scalability, poor connectivity, and inadequate intelligence. Cloud computing is considered a way to satisfy these requirements in VANETs. However, next-generation VANETs will have special requirements of autonomous vehicles with high mobility, low latency, real-time applications, and connectivity, which may not be resolved by conventional cloud computing. Hence, merging of fog computing with the conventional cloud for VANETs is discussed as a potential solution for several issues in current and future VANETs. In addition, fog computing can be enhanced by integrating Software-Defined Network (SDN), which provides flexibility, programmability, and global knowledge of the network. We present two example scenarios for timely dissemination of safety messages in future VANETs based on fog and a combination of fog and SDN. We also explained the issues that need to be resolved for the deployment of three different cloud-based approaches.

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“…According to the differences produced in processing the vehicular data using different communication technologies (such as cellular network and DSRC), Cao et al [46] proposed an approach to shield these differences. He et al [47] proposed a novel vehicle communication architecture based on SDN. In this architecture, the differences of different heterogeneous access technologies can be shielded via SDN interchange interface.…”

Section: Network Transportmentioning

confidence: 99%

Architecture and key technologies for Internet of Vehicles: a survey

Yang

Lei

et al. 2017

J. Commun. Inf. Netw.

114

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In recent years, IoV (Internet of Vehicles) has become one of the most active research fields in network and intelligent transportation system. As an open converged network, IoV plays an important role in solving various driving and traffic problems by advanced information and communications technology. We review the existing notions of IoV from different perspectives. Then, we provide our notion from a network point of view and propose a novel IoV architecture with four layers. Particularly, a novel layer named coordinative computing control layer is separated from the application layer. The novel layer is used for solving the coordinative computing and control problems for human-vehicle-environment. After summarizing the key technologies in IoV architecture, we construct a VV (Virtual Vehicle), which is an integrated image of driver and vehicle in networks. VVs can interact with each other in cyber space by providing traffic service and sharing sensing data coordinately, which can solve the communication bottleneck in physical space. Finally, an extended IoV architecture based on VVs is proposed.

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SDVN: enabling rapid network innovation for heterogeneous vehicular communication

Cited by 181 publications

References 14 publications

A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs

A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs

Challenges of Future VANET and Cloud‐Based Approaches

Architecture and key technologies for Internet of Vehicles: a survey

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