Analysis of mobility speed impact on end-to-end communication performance in VANETs

Rehman, Osama; Qureshi, Rehan; Ould‐Khaoua, Mohamed; Niazi, Moazzam Fareed

doi:10.1016/j.vehcom.2020.100278

Cited by 15 publications

(9 citation statements)

References 17 publications

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“…All the vehicles were connected and shear their information with each other. There are four types of communication V2V, V2I, V2B (Rehman et al, 2020;Sateesh & Zavarsky, 2020), and intra-vehicular communication (Mishra et al, 2020). This is briefly discussed in chapter number 1.…”

Section: Resultsmentioning

confidence: 99%

Optimal Shortest Path Selection Base on Multi-Criteria Decision Making in Vehicular Ad Hoc Network

Shah

Hussain

Ali

2021

Preprint

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Vehicular Ad-hoc Network (VANET) is the subtype of Mobile Ad-hoc Network (MANET) where every node is represented as the vehicle. Although, VANETs and MANETs have some common properties still have a difference in their properties and behaviors i.e. nodes of VANETs have unlimited resources in terms of energy, memory, and computational power. Advanced traffic management a vital role in maintaining the flow of traffic, using the latest technologies such as Intelligent Transport System (ITS). The congestion and best Optimal path selection are among the most prominent research issues in VANETs. Different researchers have worked on it and most of them such as Frictional Glow-Warm Swarm Optimization (FGWSO) and Stable CDS-Based Routing Protocol (SCRP) have solved the issue of best-path selection using shortest paths. In this research, we are selecting an optimal shortest path from all available paths through using Analytical Network Process (ANP) analysis and Multi-criteria Decision Making (MCDM) approach. The performance of the proposed Optimal Shortest Path Selection (OSPS) scheme for VANET is being evaluated by super decision-making tool. The parameters such as average speed, end to end delay, shortest path selection, Distance are compared pairwise with each other. The results are derived and shown through the limit matrix by taking four scenarios. These four scenarios are labeled by nodes B, O, K, and node Y, which are optimal nodes respectively, having the highest priority weight. The results show that the proposed OSPS scheme has minimized the end-to-end delay as compared to FGWSO and SCRP schemes.

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Section: Resultsmentioning

confidence: 99%

Optimal Shortest Path Selection Base on Multi-Criteria Decision Making in Vehicular Ad Hoc Network

Shah

Hussain

Ali

2021

Preprint

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“…In 2020, Rehman et al 24 have investigated the VANETs influence of mobility speed on overall communication. The influence of vehicle speed disparities on the performance of two frequently used VANET messaging systems, the farthest distance and link quality-based techniques were investigated.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis

Marwah

Jain

2022

Sci Rep

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High vehicle mobility, changing vehicle density and dynamic inter-vehicle spacing are all important issues in the VANET environment. As a result, a better routing protocol improves VANET overall performance by permitting frequent service availability. Therefore, an ensemble-based machine-learning technique is used to forecast VANET mobility. Effective routing based on a hybrid metaheuristic algorithm combined with Ensemble Learning yields significantly improved results. Based on information collected from the Road Side Unit (RSU) or the Base Station, a hybrid metaheuristic (Seagull optimization and Artificial Fish Swarm Optimization) method is used to estimate (BS). The suggested approach incorporates an ensemble machine learning and hybrid metaheuristic method to reduce the latency. The current model's execution is calculated using a variety of Machine Learning techniques, including SVM, Nave Bayes, ANN, and Decision Tree. As a result, the performance of machine learning algorithms may be studied and used to achieve the best results. Comparative analysis between the proposed method (HFSA-VANET) and (CRSM-VANET was done on different performance parameters like throughput, delay, drop, network lifetime, and energy consumption to assess system performance on two factors Speed and Nodes. The HFSA-VANET method shows an overall drop in the delay of 33% and a decrease in the energy consumption of 81% and an increase of 8% in the throughput as compared with the CRSM-VANET method at 80 node. The proposed method that is HFSA-VANET has been implemented in the MATLAB and NS2 environment.

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“…Communication link life is calculated using Link Expiration Time (LET), it can be also used for marking the link status whether expired or not. Link marked 'expired' will be excluded from routing table to prevent message loss [11]. LET is estimated based upon neighbor's mobility projection [12].…”

Section: Figure 1 Vanet Architecture Diagrammentioning

confidence: 99%

Enhancement of Link Stability and Connectivity in Vehicular Ad hoc Networks

Tayade¹

2021

TURCOMAT

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Vehicular Ad hoc Networks is a promising sub-group of MANET. VANET is deployed on the highways, where the vehicles are mobile nodes. Safety and intelligent transportation are important VANET applications that require appropriate communication among vehicles, in particular routing technology. VANETs generally inherit their common features from MANETs where vehicles operate in a collaborative and dispersed way for promoting contact among vehicles and with network infrastructure like the Road Side Units (RSU) for enhanced traffic experience. In view of the fast growth of Intelligent Transportation Systems (ITS), VANETs has attracted considerable interest in this decade. VANET suffer from a major problem of link failure due to dynamic mobility of vehicles. In this paper we proposed a position based routing algorithm to identify stable path, this will improve the routing by decreasing overhead and interrupting the number of links. Link Expiration Time (LET) is used to provide the stable link, the link with the longest LET is considered as the most stable link. The multicast Ad-hoc On-demand Distance Vector (MAODV) is proposed to avoid the link breakages by using a link with longest LET. Data loss is reduced by avoiding link breakages and enhance throughput by reducing the communication delay.

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Analysis of mobility speed impact on end-to-end communication performance in VANETs

Cited by 15 publications

References 17 publications

Optimal Shortest Path Selection Base on Multi-Criteria Decision Making in Vehicular Ad Hoc Network

Optimal Shortest Path Selection Base on Multi-Criteria Decision Making in Vehicular Ad Hoc Network

A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis

Enhancement of Link Stability and Connectivity in Vehicular Ad hoc Networks

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