Software‐defined networking in vehicular networks: A survey

Mekki, Tesnim; Jabri, Issam; Rachedi, Abderrezak; Fourati, Lamia Chaari

doi:10.1002/ett.4265

Cited by 28 publications

(16 citation statements)

References 118 publications

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“…Again, this solution does not explain how the RSU controller works. Mekki et al 29 pointed out that excessive use of wireless resources to send control information should be avoided, resulting in excessive control messaging that overwhelms data transmission tasks related to vehicle application tasks. Actively seeking to minimize control traffic can effectively improve the efficiency of application‐related data transmission.…”

Section: Related Workmentioning

confidence: 99%

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%

Roadside units plane optimization scheme in software‐defined vehicular networks

Mao

Peng

Zhang

et al. 2022

Trans Emerging Tel Tech

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“…[9]. SDN has many applications, such as in vehicular networks [10] and wireless networks in general [11], [12]. Fig.…”

Section: A Sdwn and Predictive Model A Literature Reviewmentioning

confidence: 99%

Design a Model-Based on Nonlinear Multiple Regression to Predict the Level of User Satisfaction when Optimizing a Traditional WLAN Using SDWN

Hernandez¹,

Ríos²,

Pranolo³

2021

International Journal on Advanced Science, Engineering and Information Technology

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Higher education institutions' wireless networks have different roles and network requirements, ranging from educational platforms and informative consultations. Currently, the inefficient use of network resources, poor wireless planning, and other factors, affect having a robust and stable network platform. Different authors have investigated the various strategies for the optimization of wireless infrastructures. Still, most of the cases studied aim to improve traditional performance variables without considering maximizing the level of user satisfaction, which represents a flaw that this research paper hopes to solve through SDWN and a predictive model. The authors will determine an appropriate methodology to estimate the user's level of satisfaction through an algorithm or predictive model based on nonlinear multiple regression supported on network performance variables, making a characterization of the project's environment analyzing the wireless conditions. The investigation phases will follow the life cycle guidelines defined by the Cisco PPDIOO methodology (Prepare, Plan, Design, Implement, Operate, Optimize). As a result, it is expected that the project will be the beginning of academic research that will help create strategies to optimize the WiFi network of any educational institution to maximize user satisfaction. In short, the optimization process provides the network with differentiating factors through a modular design with variable modification of parameters according to the users' requirements and needs.

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“…One of the reasons for this is also bad path selection for travel. To control this, public transport service providers design various monitoring strategies and priority measures 7 . Among them is real‐time information distribution of arrival time of busses.…”

Section: Introductionmentioning

confidence: 99%

“…To control this, public transport service providers design various monitoring strategies and priority measures. 7 Among them is real-time information distribution of arrival time of busses. It can greatly decrease the waiting time of individual passengers.…”

Section: Introductionmentioning

confidence: 99%