Software-Defined Vehicular Networking: Opportunities and Challenges

Cardona, Nelson; Coronado, Estefanía; Latré, Steven; Riggio, Roberto; Marquez-Barja, Johann M.

doi:10.1109/access.2020.3042717

Cited by 17 publications

(13 citation statements)

References 124 publications

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“…Therefore, it is challenging to apply the SDN idea at the edge of the network. At present, four types of SDVN architecture implementation schemes have been proposed, 20 including (1) standard SDVN architecture; (2) layered SDVN control plane; (3) layered SDVN data plane; (4) fully layered SDVN architecture.…”

Section: Related Workmentioning

confidence: 99%

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Roadside units plane optimization scheme in software‐defined vehicular networks

Mao

Peng

Zhang

et al. 2022

Trans Emerging Tel Tech

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As a new research field, software‐defined vehicular networks (SDVN) provide a novel idea for the network management of the internet of vehicles. Due to the time‐sensitivity of vehicle edge networks, time delay optimization for flow rule management is of great significance to improve system performance. Some existing SDVN architectures select part of the underlying roadside units (RSUs) as underlying controllers to assist the upper control plane. There is no mention of how to optimize the state switching between the RSU controller and the common RSU, which may increase the delay and communication overhead. This paper proposes an RSU plane optimization scheme to reduce the state fluctuation between RSUs with control functions. Firstly, we propose a state fluctuation optimization model of the RSU plane. Secondly, the division method and dynamic adjustment strategy of the RSU plane are designed. Finally, a position prediction method is utilized to realize the pre‐installation of flow rules. We use two common methods (greedy and dynamic schemes) to compare with the minimum state fluctuation approach. The simulation analyzes the performance using four parameters. Under the same conditions, the proposed scheme can reduce the flow setup delay and end‐to‐end delay, while reducing the number of controllers and overhead.

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Section: Related Workmentioning

confidence: 99%

“…Therefore, it is challenging to apply the SDN idea at the edge of the network. At present, four types of SDVN architecture implementation schemes have been proposed, 20…”

Section: Software-defined Vehicular Networkmentioning

confidence: 99%

Roadside units plane optimization scheme in software‐defined vehicular networks

Mao

Peng

Zhang

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…However, despite their pervasive adoption, traditional IP-based networks are complex and challenging to manage. Software-Defined Networking (SDN) has been recently advertised as a game changer for the future Internet [10,11]. The SDN implements novel network management options and configuration approaches [12] by separating the data plane from the control plane and pushing the scalable and effective management capabilities to software applications [13,14] that adopt the concept of the SDN.…”

Section: IImentioning

confidence: 99%

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

et al. 2021

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As a global community, the Internet is comprised of thousands of administrative entities that operate and interact with each other. Transferring data among these entities is possible due to the process of routing, which is challenging due to the lack of centrality. Consequently, the Border Gateway Protocol (BGP) can play a vital role in the routing process as a central hub for disseminating routing information to the various autonomous systems. Yet, the BGP poses security vulnerability due to the difficulty of validation and authentication. Recent studies argue that it would be beneficial to apply the Software-Defined Networking (SDN) approach to address some of the BGP problems. The SDN can help handle BGP-based networks at a low cost and with minimal complexity. However, there are still many scientific and operational problems in this field of study. The main objective of this paper is to identify the challenges that the BGP facing with respect to the adoption of the SDN. The findings revealed that most researchers focused on improving convergence time, while other essential features such as scalability and privacy were overlooked.

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“…In [24], the authors surveyed several ML-based solutions employed in VNs communication and networking parts. Differently, the importance of a network softwerization technology in the VN and corresponding challenges is surveyed in [25]. In [26], the authors have proposed a software-defined collaborative EC platform for the vehicular scenario.…”

Section: Scenario Backgroundmentioning

confidence: 99%

Towards a Novel Air–Ground Intelligent Platform for Vehicular Networks: Technologies, Scenarios, and Challenges

Shinde

Tarchi

2021

Smart Cities

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Modern cities require a tighter integration with Information and Communication Technologies (ICT) for bringing new services to the citizens. The Smart City is the revolutionary paradigm aiming at integrating the ICT with the citizen life; among several urban services, transports are one of the most important in modern cities, introducing several challenges to the Smart City paradigm. In order to satisfy the stringent requirements of new vehicular applications and services, Edge Computing (EC) is one of the most promising technologies when integrated into the Vehicular Networks (VNs). EC-enabled VNs can facilitate new latency-critical and data-intensive applications and services. However, ground-based EC platforms (i.e., Road Side Units—RSUs, 5G Base Stations—5G BS) can only serve a reduced number of Vehicular Users (VUs), due to short coverage ranges and resource shortage. In the recent past, several new aerial platforms with integrated EC facilities have been deployed for achieving global connectivity. Such air-based EC platforms can complement the ground-based EC facilities for creating a futuristic VN able to deploy several new applications and services. The goal of this work is to explore the possibility of creating a novel joint air-ground EC platform within a VN architecture for helping VUs with new intelligent applications and services. By exploiting most modern technologies, with particular attention towards network softwarization, vehicular edge computing, and machine learning, we propose here three possible layered air-ground EC-enabled VN scenarios. For each of the discussed scenarios, a list of the possible challenges is considered, as well possible solutions allowing to overcome all or some of the considered challenges. A proper comparison is also done, through the use of tables, where all the proposed scenarios, and the proposed solutions, are discussed.

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Software-Defined Vehicular Networking: Opportunities and Challenges

Cited by 17 publications

References 124 publications

Roadside units plane optimization scheme in software‐defined vehicular networks

Roadside units plane optimization scheme in software‐defined vehicular networks

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

Towards a Novel Air–Ground Intelligent Platform for Vehicular Networks: Technologies, Scenarios, and Challenges

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