State-of-the-art: Data Dissemination Techniques in Vehicular Ad-hoc Networks

Sharan, Bhagwati; Chhabra, Megha; Sagar, Anil Kumar

doi:10.23919/indiacom54597.2022.9763249

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…This protocol does not need the development of a complete point-to-point path; instead, it bases decisions on the hop-by-hop principle. [168][169][170][171][172][173][174] b. RIPR: RIPR was created to offer a fix for several link failures. This protocol establishes the direction and speed of a vehicle's motion.…”

Section: A Gpsrmentioning

confidence: 99%

A Survey of Different VANET Routing Protocols

Shandil¹

2023

Evergreen

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Vehicle nodes can join or exit the VANET, which is a decentralized sort of network. Due to the network's dynamic nature, reactive routing methods are used for path establishment from source to destination. Reviewing current protocols that are regularly utilized in various proposals and application scenarios is the goal of this work. This review helps when developing selection criteria or metrics for a new protocol. The systematic literature review (SLR) is used in this survey on VANET routing protocols to analyze the most recent state-of-art recommendations. Additionally, in this study, a number of proactive routing and reactive routing protocols are defined. Reactive routing protocols construct a route from source to destination using the most recent network data. The proactive routing protocols establish paths using network-defined information. Routing tables are used by proactive routing technologies to construct paths. Analysis shows that reactive routing strategies outperform proactive routing techniques. The research shows that speed and distance are the most frequent and adaptable metrics in a procedure. Finally, the application of various methods is discussed along with some feasible directions for further research.

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Section: A Gpsrmentioning

confidence: 99%

A Survey of Different VANET Routing Protocols

Shandil¹

2023

Evergreen

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“…It is tough for vehicles to communicate among themselves due to large number of vehicles on road (9) . It becomes very challenging task for vehicles to transmit information over the network (10) . If the protocol is not designed accurately, the timer Quantization effect may result in stopping the dissemination.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They are originated by vehicles or Road Side Units (RSU). Safety information are divided into eight categories such as Curve speed warning, Traffic signal violation warning, Emergency electronic brake lights, Pre-crash warning, left turn assistant, Lane change warning, Stop sign movements' assistance, cooperative forward collision https://www.indjst.org/ warning (10) .…”

Section: Probability Basedmentioning

confidence: 99%

CPDD: Clustering and Probabilistic based Data Dissemination in Vehicular Adhoc Networks

R¹,

Bhuvaneswari²

2022

IJST

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Objectives: To maintain Quality of Service (QOS) for data dissemination, prevent packet loss and high reachability. Methods: To achieve this, CPDD: Clustering and Probabilistic based Data Dissemination in Vehicular Adhoc Networks is proposed. The messages are disseminated between the clusters. The Performance metrics like throughput, jitter, Normalized Routing Load, Routing Overhead and packet loss ratio are analysed using NS2 and the results are compared for the varying number of nodes. Findings: The proposed approach has a low packet drop ratio and end-to-end delay compared to SECADD, SEAD and S1PD. The efficiency of the traffic system and the quality of driving are both improved by data dissemination through VANETs by using CPDD. The goal of an effective clustering method is to reduce the number of clusters while maintaining high communication over the vehicular network. Novelty: Establishing effective communication between two fastmoving vehicles is a major challenge in VANET. The challenge in designing a robust and reliable message dissemination technique is required for VANET safety applications. The results of the proposed model CPDD is compared for different numbers of nodes. The proposed work improves the QOS metrics with the Normalized Routing Load of 1.009%, Routing Overhead of 1.03 bits/sec, throughput of 205.5 bits/sec, end-to-end delay of 0.435 seconds and packet loss ratio of 20.02% for 50 nodes.

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“…The vehicular ad hoc network (VANET) is a variant of a mobile ad hoc network (MANET) that uses wireless network technologies to design communication for message flow between adjacent vehicles to vehicles (V2V), vehicles to roadside infrastructures (V2I), and through vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity [ 1 ]. Vehicular networks have emerged in recent years as a possible data communication option for intelligent transportation systems.…”

Section: Introductionmentioning

confidence: 99%

Data Dissemination in VANETs Using Particle Swarm Optimization

Desai

El-Ocla

Purohit

2023

Sensors

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A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that uses wireless routers inside each vehicle to act as a node. The need for effective solutions to urban traffic congestion issues has increased recently due to the growing number of automobile connections in the car communications system. To ensure a high level of service and avoid unsafe situations brought on by congestion or a broadcast storm, data dissemination in a VANET network requires an effective approach. Effective multi-objective optimization methods are required to tackle this because of the implied competing nature of multi-metric approaches. A meta-heuristic technique with a high level of solution interactions can handle efficient optimization. To accomplish this, a meta-heuristic search algorithm particle optimization was chosen. In this paper, we have created a network consisting of vehicles as nodes. The aim is to send emergency messages immediately to the stationary nodes. The normal messages will be sent to the FIFO queue. To send these messages to a destination node, multiple routes were found using Time delay-based Multipath Routing (TMR) method, and to find the optimal and secure path Particle Swarm Optimization (PSO) is used. Our method is compared with different optimization methods such as Ant Colony Optimization (ACO), Firefly Optimization (FFO), and Enhanced Flying Ant Colony Optimization (EFACO). Significant improvements in terms of throughput and packet loss ratio, reduced end-to-end delay, rounding overhead ratio, and the energy consumption are revealed by the experimental results.

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State-of-the-art: Data Dissemination Techniques in Vehicular Ad-hoc Networks

Cited by 5 publications

References 27 publications

A Survey of Different VANET Routing Protocols

A Survey of Different VANET Routing Protocols

CPDD: Clustering and Probabilistic based Data Dissemination in Vehicular Adhoc Networks

Data Dissemination in VANETs Using Particle Swarm Optimization

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