Vehicle-to-Infrastructure (V2I) offloading from cellular network to 802.11p Wi-Fi network based on the Software-Defined Network (SDN) architecture

Huang, Chien‐Cheng; Chiang, Meng Shu; Dao, Duy Tuan; Pai, Hsiu Ming; Xu, Sheng; Zhou, Huan

doi:10.1016/j.vehcom.2017.03.003

Cited by 35 publications

(29 citation statements)

References 19 publications

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“…Vehicles communicate with each other as well as with RSUs. Also, each RSU can interact with a cloud infrastructure to offer a variety of modern services with strict QoS requirements [30]. With the development of vehicular technologies, some of the problems such as lack of essential information for monitoring the vehicles while in transit can be eliminated.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Resource Allocation Model for Distribution Operations Using SDN

Goudarzi

Anisi

Ahmadi

et al. 2021

IEEE Internet Things J.

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In vehicular ad-hoc networks, autonomous vehicles generate a large amount of data prior to support in-vehicle applications. So, a big storage and high computation platform is needed. On the other hand, the computation for vehicular networks at the cloud platform requires low latency. Applying edge computation (EC) as a new computing paradigm has potentials to provide computation services while reducing the latency and improving the total utility. We propose a three-tier EC framework to set the elastic calculating processing capacity and dynamic route calculation to suitable edge servers for real-time vehicle monitoring. This framework includes the cloud computation layer, EC layer, and device layer. The formulation of resource allocation approach is similar to an optimization problem. We design a new reinforcement learning (RL) algorithm to deal with resource allocation problem assisted by cloud computation. By integration of EC and software defined networking (SDN), this study provides a new software defined networking edge (SDNE) framework for resource assignment in vehicular networks. The novelty of this work is to design a multi-agent RL-based approach using experience reply. The proposed algorithm stores the users' communication information and the network tracks' state in realtime. The results of simulation with various system factors are presented to display the efficiency of the suggested framework. We present results with a real-world case study.

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Section: Related Workmentioning

confidence: 99%

Dynamic Resource Allocation Model for Distribution Operations Using SDN

Goudarzi

Anisi

Ahmadi

et al. 2021

IEEE Internet Things J.

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show abstract

“…They use POX as an SDN controller with an NS3 simulator to validate their proposed architecture performance. In [19], the authors using the SDN controller, to collect all the information about the vehicles in the network, like vehicle speed, direction, geographical position, and neighboring RSUs' ID using 802.11p. Based on the information, the proposed scheme takes the offloading and handover decision.…”

Section: B Sd-vanet Architecturementioning

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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“…It is typically implemented as a bi-directional wireless communication. Infrastructure units such as traffic lights, lane markings, road signs are connected wirelessly and share data to vehicles or vice versa (Huang et al, 2017). The V2I communication is expected to have a wide range of safety, mobility and environmental benefits (Mekki et al, 2017).…”

Section: Connected Autonomous Vehicles and Communication Typesmentioning

confidence: 99%

Witness of Things

Ayvaz

Cetin

2019

IJIUS

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Purpose The purpose of this paper is to develop a model for autonomous cars to establish trusted parties by combining distributed ledgers and self-driving cars in the traffic to provide single version of the truth and thus build public trust. Design/methodology/approach The model, which the authors call Witness of Things, is based on keeping decision logs of autonomous vehicles in distributed ledgers through the use of vehicular networks and vehicle-to-vehicle/vehicle-to-infrastructure (or vice versa) communications. The model provides a single version of the truth and thus helps enable the autonomous vehicle industry, related organizations and governmental institutions to discover the true causes of road accidents and their consequences in investigations. Findings In this paper, the authors explored one of the potential effects of blockchain protocol on autonomous vehicles. The framework provides a solution for operating autonomous cars in an untrusted environment without needing a central authority. The model can also be generalized and applied to other intelligent unmanned systems. Originality/value This study proposes a blockchain protocol-based record-keeping model for autonomous cars to establish trusted parties in the traffic and protect single version of the truth.

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Vehicle-to-Infrastructure (V2I) offloading from cellular network to 802.11p Wi-Fi network based on the Software-Defined Network (SDN) architecture

Cited by 35 publications

References 19 publications

Dynamic Resource Allocation Model for Distribution Operations Using SDN

Dynamic Resource Allocation Model for Distribution Operations Using SDN

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

Witness of Things

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