BUS-VANET: A BUS Vehicular Network Integrated with Traffic Infrastructure

Jiang, Xicheng; Du, David Hung-Chang

doi:10.1109/mits.2015.2408137

Cited by 52 publications

(1 citation statement)

References 14 publications

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“…Nerveless, regardless of the mode of operation (active/sleep), the parked automobiles are energy-constrained and can stop parking at any moment. Jiang and Du [93] proposed a two-tier architecture called BUS-VANET, based on high-tier and low-tier that leverages upon the predictable routes and timetables of buses. The high-tier comprises RSUs, Traffic Control Centers (TCCs), and bus routes.…”

Section: Bus Line Management As Rsumentioning

confidence: 99%

Roadside Unit Deployment in Internet of Vehicles Systems: A Survey

Guerna

Bitam

Calafate

2022

Sensors

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In recent years, the network technology known as Internet of Vehicles (IoV) has been developed to improve road safety and vehicle security, with the goal of servicing the digital demands of car drivers and passengers. However, the highly dynamical network topology that characterizes these networks, and which often leads to discontinuous transmissions, is one of the most significant challenges of IoV. To address this issue, IoV infrastructure-based components known as roadside units (RSU) are designed to play a critical role by providing continuous transmission coverage and permanent connectivity. However, the main challenges that arise when deploying RSUs are balancing IoVs’ performances and total cost so that optimal vehicle service coverage is provided with respect to some target Quality of Service (QoS) such as: service coverage, throughput, low latency, or energy consumption. This paper provides an in-depth survey of RSU deployment in IoV networks, discussing recent research trends in this field, and summarizing of a number of previous papers on the subject. Furthermore, we highlight that two classes of RSU deployment can be found in the literature—static and dynamic—the latter being based on vehicle mobility. A comparison between the existing RSU deployment schemes proposed in existing literature, as well as the various networking metrics, are presented and discussed. Our comparative study confirms that the performance of the different RSU placement solutions heavily depends on several factors such as road shape, particularity of road segments (like accident-prone ones), wireless access methods, mobility model, and vehicles’ distribution over time and space. Besides that, we review the most important RSU placement approaches, highlighting their strengths and limitations. Finally, this survey concludes by presenting some future research directions in this domain.

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Section: Bus Line Management As Rsumentioning

confidence: 99%

Roadside Unit Deployment in Internet of Vehicles Systems: A Survey

Guerna

Bitam

Calafate

2022

Sensors

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Reducing saturation and congestion in VANET networks: Alliance‐based approach and comparisons

Ouazine

Slimani

Nacer

et al. 2019

Int J Communication

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A vehicular ad hoc network (VANET) is composed mainly of fixed roadside entities (RSUs) and mobile entities (vehicles). In order to exchange information and data relating to the safety and comfort of road users, these different entities must establish communications between them. In these communications, one of the main problems is related to congestion and saturation of RSUs. In this paper, we first study the main protocols that involve RSUs in their strategy of routing by classifying them according to four levels. Furthermore, to deal with the problem of saturation of RSUs, we present a new approach of cooperation between the RSUs of a VANET in order to reduce its congestion and avoid as much as possible the saturation of these entities. This approach, called "D2A2RS" (defensive alliance-based approach for reducing RSUs saturation), is based on the concept of defensive alliances in graphs that ensures effective collaboration between RSUs. To evaluate the performance of the proposed approach, we conduct a comparative analysis by using both analytical models and simulations. The obtained comparison results have shown the efficiency and the performance of our approach compared with other concurrent approaches in the literature in terms of packet loss/success rate, end-to-end transmission delay, and network scalability. KEYWORDSanalytical model, congestion, cooperation, defensive alliance of data processing, roadside unit (RSU), saturation, simulation, vehicular ad hoc network (VANET) Int J Commun Syst. 2020;33:e4245.wileyonlinelibrary.com/journal/dac

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