Improvement of QoS in VANET with different mobility patterns

Dorge, Prabhakar D.; Dorle, S. S.; Chakole, Megha; Thote, Dhiraj K.

doi:10.1109/icrcc.2012.6450578

Cited by 15 publications

(3 citation statements)

References 8 publications

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“…a) Routing in Homogeneous Vehicular Networks Traditional routing protocols in homogeneous vehicular networks assume that packets generated by vehicles are managed via a small distance technology, e.g., WAVE. Based on [88], the proposed evaluation performance of homogeneous WiMAX in VANET for many routing protocols DSDV [70], DSR [71] and AODV [89] validate that the routing protocols perform regardless of the underlying wireless technology. b) Routing in Heterogeneous Vehicular Networks Heterogeneous routing protocols vary from the homogeneous protocols by including different radio access technologies and consequently routing between heterogeneous networks.…”

Section: C) Unicast Routing Protocolsmentioning

confidence: 86%

Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives

Maalej¹,

Balti²

2022

Preprint

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For decades, researchers on Vehicular Ad-hoc Networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively. Yet, the developed work in these two areas has been mostly conducted in their own separate worlds, and barely affect one-another despite the obvious relationships. In the coming years, the Internet of Vehicles (IoV), encompassing sensing, communications, connectivity, processing, networking, and computation is expected to bridge many technologies to offer value-added information for the navigation of self-driving vehicles, to reduce vehicle on board computation, and to deliver desired functionalities. Potentials for bridging the gap between these two worlds and creating synergies of these two technologies have recently started to attract significant attention of many companies and government agencies. In this article, we first present a comprehensive survey and an overview of the emerging key challenges related to the two worlds of Vehicular Clouds (VCs) including communications, networking, traffic modelling, medium access, VC Computing (VCC), VC collation strategies, security issues, and autonomous driving (AD) including 3D environment learning approaches and AD enabling deep-learning, computer vision and Artificial Intelligence (AI) techniques. We then discuss the recent related work and potential trends on merging these two worlds in order to enrich vehicle cognition of its surroundings, and enable safer and more informed and coordinated AD systems. Compared to other survey papers, this work offers more detailed summaries of the most relevant VCs and ADs systems in the literature, along with some key challenges and insights on how different technologies fit together to deliver safety, autonomy and infotainment services.

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Section: C) Unicast Routing Protocolsmentioning

confidence: 86%

Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives

Maalej¹,

Balti²

2022

Preprint

View full text Add to dashboard Cite

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“…In [25] and [26], the authors conduct brief analyses on QoS, which include some types of routing protocols that help minimize delay and increase overall QoS in VANET. The authors of [27] also improved various QoS parameters for various scenario networks, such as delay, jitter, throughput and packet loss ratio, by employing various routing algorithms with different mobility patterns, adaptive modulation, multiple-input multiple-output (MIMO) and coding (AMC) techniques.…”

Section: Applied Computer Systems ___________________________________...mentioning

confidence: 99%

Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET

Khalfaoui

Azmani

Farchane

et al. 2022

Applied Computer Systems

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There are considerable obstacles in the transport sector of developing countries, including poor road conditions, poor road maintenance and congestion. The dire impacts of these challenges could be extremely damaging to both human lives and the economies of the countries involved. Intelligent Transportation Systems (ITSs) integrate modern technologies into existing transportation systems to monitor traffic. Adopting Vehicular Adhoc Network (VANET) into the road transport system is one of the most ITS developments demonstrating its benefits in reducing incidents, traffic congestion, fuel consumption, waiting times and pollution. However, this type of network is vulnerable to many problems that can affect the availability of services. This article uses a Fuzzy Bayesian approach that combines Bayesian Networks (BN) and Fuzzy Logic (FL) for predicting the risks affecting the quality of service in VANET. The implementation of this model can be used for different types of predictions in the networking field and other research areas.

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“…As a result, those routing algorithms' performance is often analyzed and compared under simulations with a WAVE MAC layer parameter. In [49], Dorge et al compare Mobile WiMAX and WAVE under five different metrics and show a graphical comparison in a normalized unit scale as shown in Fig. 4.…”

Section: ) Routing In Homogeneous Networkmentioning

confidence: 99%

Routing in Internet of Vehicles: A Review

Cheng

Zhou

et al. 2015

IEEE Trans. Intell. Transport. Syst.

369

137

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This work aims to provide a review of the routing protocols in the Internet of Vehicles (IoV) from routing algorithms to their evaluation approaches. We provide five different taxonomies of routing protocols. First, we classify them based on their transmission strategy into three categories: unicast, geocast, and broadcast ones. Second, we classify them into four categories based on information required to perform routing: topology-, position-, map-, and path-based ones. Third, we identify them in delaysensitive and delay-tolerant ones. Fourth, we discuss them according to their applicability in different dimensions, i.e., 1-D, 2-D, and 3-D. Finally, we discuss their target networks, i.e., homogeneous and heterogeneous ones. As the evaluation is also a vital part in IoV routing protocol studies, we examine the evaluation approaches, i.e., simulation and real-world experiments. IoV includes not only the traditional vehicular ad hoc networks, which usually involve a small-scale and homogeneous network, but also a much larger scale and heterogeneous one. The composition of classical routing protocols and latest heterogeneous network approaches is a promising topic in the future. This work should motivate IoV researchers, practitioners, and new comers to develop IoV routing protocols and technologies.

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Improvement of QoS in VANET with different mobility patterns

Cited by 15 publications

References 8 publications

Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives

Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives

Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET

Routing in Internet of Vehicles: A Review

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