Performance Evaluation of VANET Routing Protocols in Madinah City

Abdeen, M.; Beg, Abdurrahman; Mostafa, Saud Mohammad; AbdulGhaffar, AbdulAziz; Sheltami, Tarek R.; Yasar, Ansar-Ul-Haque

doi:10.3390/electronics11050777

Cited by 18 publications

(4 citation statements)

References 49 publications

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“…Abdeen et al [7] presented that the traffic management challenges in peak seasons for popular destinations such as Madinah city have accelerated the need for and introduction of autonomous vehicles and vehicular ad hoc networks (VANETs) to assist in the communication and alleviation of traffic congestions. The primary goal of this study is to evaluate the performance of communication routing protocols in VANETs between autonomous and human-driven vehicles in Madinah city in varying traffic conditions.…”

Section: Short Presentation Of the Papersmentioning

confidence: 99%

Autonomous Vehicles Technological Trends

Iclodean

Varga

Pfister³

2023

Electronics

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Section: Short Presentation Of the Papersmentioning

confidence: 99%

Autonomous Vehicles Technological Trends

Iclodean

Varga

Pfister³

2023

Electronics

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“…The hop count is a parameter representing the number of distinct hops between multiple vehicles from the sender to the receiver inside a node radius. This is a measure of distance rather than the hop distance, because the hop distance, according to analysis, refers to the transmission distance for only a hop [55,56]. The bits, on either side, are passed from one hop to the next, with the computation cost depending on the distance between the transmitter and the receiver.…”

Section: Hop Countmentioning

confidence: 99%

A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network

Farhan

Khan

Rizwan

et al. 2023

Sensors

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The roadside unit (RSU) is one of the fundamental components in a vehicular ad hoc network (VANET), where a vehicle communicates in infrastructure mode. The RSU has multiple functions, including the sharing of emergency messages and the updating of vehicles about the traffic situation. Deploying and managing a static RSU (sRSU) requires considerable capital and operating expenditures (CAPEX and OPEX), leading to RSUs that are sparsely distributed, continuous handovers amongst RSUs, and, more importantly, frequent RSU interruptions. At present, researchers remain focused on multiple parameters in the sRSU to improve the vehicle-to-infrastructure (V2I) communication; however, in this research, the mobile RSU (mRSU), an emerging concept for sixth-generation (6G) edge computing vehicular ad hoc networks (VANETs), is proposed to improve the connectivity and efficiency of communication among V2I. In addition to this, the mRSU can serve as a computing resource for edge computing applications. This paper proposes a novel energy-efficient reservation technique for edge computing in 6G VANETs that provides an energy-efficient, reservation-based, cost-effective solution by introducing the concept of the mRSU. The simulation outcomes demonstrate that the mRSU exhibits superior performance compared to the sRSU in multiple aspects. The mRSU surpasses the sRSU with a packet delivery ratio improvement of 7.7%, a throughput increase of 5.1%, a reduction in end-to-end delay by 4.4%, and a decrease in hop count by 8.7%. The results are generated across diverse propagation models, employing realistic urban scenarios with varying packet sizes and numbers of vehicles. However, it is important to note that the enhanced performance parameters and improved connectivity with more nodes lead to a significant increase in energy consumption by 2%.

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“…Packet delivery ratio (PDR), end‐to‐end delay, and throughput in general are taken into consideration when designing routing protocols 5 for VANET. On the other side, saving network energy is a critical concern in the implementation of smart cities where VANET is anticipated to play an important role.…”

Section: Introductionmentioning

confidence: 99%

Machine learning based centralized dynamic clustering algorithm for energy efficient routing in vehicular ad hoc networks

Choksi,

Shah

2023

Trans Emerging Tel Tech

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Vehicular ad hoc network (VANET) is a dynamic and self‐configure wireless network that connects vehicles to provide in‐vehicle infotainment services and comfort to both driver and passengers while on the move. Due to the highly dynamic environment, patchy connectivity, roadside barriers, and a scarcity of road side units (RSUs); existing routing protocols of VANET consume high energy during route construction. As a consequence, the VANET lifespan might be shortened. However, saving energy is a critical factor where VANET is projected to play a key role in the building of sustainable green infrastructure. Clustering is an imperative process where vehicle nodes join to make stable clusters based on common mobility features. In VANET, clustering‐based routing algorithms significantly improve network effectiveness and reduce infrastructure costs. This article proposes fuzzy c‐means (FM) machine learning‐based dynamic clustering algorithm (DCA) to identify trustworthy vehicles for energy‐efficient multi‐hop routing by considering different mobility parameters such as position, direction, speed, and remaining energy of each vehicle node. This article also proposes distance and power‐based variation of FM called fuzzy c‐means using distance and residual power (FMDP) to find stable cluster heads (CHs) for performing better data dissemination to the destination. The proposed DCA outperforms the existing k‐means based clustering algorithms as well as topology‐based DSR and AODV routing protocols in terms of packet delivery ratio, application throughput, end‐to‐end delay, network energy consumption, node energy consumption, and RSU energy consumption. Additionally, clustering methods FM and FMDP of suggested DCA improve end‐to‐end delay by 20%, application throughput by 5%, and reduce network energy consumption by 68% compared with the k‐means based clustering model.

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Performance Evaluation of VANET Routing Protocols in Madinah City

Cited by 18 publications

References 49 publications

Autonomous Vehicles Technological Trends

Autonomous Vehicles Technological Trends

A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network

Machine learning based centralized dynamic clustering algorithm for energy efficient routing in vehicular ad hoc networks

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