Veins based studies for vehicular ad hoc networks

Haidari, M. J.; Yetgin, Zeki

doi:10.1109/idap.2019.8875954

Cited by 14 publications

(4 citation statements)

References 37 publications

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“…The suggested approach has been examined and assessed by using the Veins [22], [23] that is a vehicular network simulator. Veins combines OMNeT++ network simulator [24] and the simulator for urban mobility (SUMO) [25], [26] to control movement and interaction among vehicular transmission modes.…”

Section: Resultsmentioning

confidence: 99%

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Amer

Hadi

Shihab

et al. 2022

IJECE

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Technology such as vehicular ad hoc networks can be used to enhance the convenience and safety of passenger and drivers. The vehicular ad hoc networks safety applications suffer from performance degradation due to channel congestion in high-density situations. In order to improve vehicular ad hoc networks reliability, performance, and safety, wireless channel congestion should be examined. Features of vehicular networks such as high transmission frequency, fast topology change, high mobility, high disconnection make the congestion control is a challenging task. In this paper, a new congestion control approach is proposed based on the concept of hybrid power control and contention window to ensure a reliable and safe communications architecture within the internet of vehicles network. The proposed approach performance is investigated using an urban scenario. Simulation results show that the network performance has been enhanced by using the hybrid developed strategy in terms of received messages, delay time, messages loss, data collision and congestion ratio.

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Section: Resultsmentioning

confidence: 99%

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Amer

Hadi

Shihab

et al. 2022

IJECE

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“…Authors of [21] use Veins to simulate the network aspect of their models. Other publications using Veins can be found in [154]. Go is another open-source programming language that is an efficient choice for networking, used in [23].…”

Section: B Tools For Simulating Vehicular Networkmentioning

confidence: 99%

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Alladi¹,

Chamola²,

Sahu³

et al. 2022

Preprint

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Vehicular networks promise features such as traffic management, route scheduling, data exchange, entertainment, and much more. With any large-scale technological integration comes the challenge of providing security. Blockchain technology has been a popular choice of many studies for making the vehicular network more secure. Its characteristics meet some of the essential security requirements such as decentralization, transparency, tamper-proof nature, and public audit. This study catalogues some of the notable efforts in this direction over the last few years. We analyze around 75 blockchain-based security schemes for vehicular networks from an application, security, and blockchain perspective. The application perspective focuses on various applications which use secure blockchainbased vehicular networks such as transportation, parking, data sharing/ trading, and resource sharing. The security perspective focuses on security requirements and attacks. The blockchain perspective focuses on blockchain platforms, blockchain types, and consensus mechanisms used in blockchain implementation. We also compile the popular simulation tools used for simulating blockchain and for simulating vehicular networks. Additionally, to give the readers a broader perspective of the research area, we discuss the role of various state-of-the-art emerging technologies in blockchain-based vehicular networks. Lastly, we summarize the survey by listing out some common challenges and the future research directions in this field.

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“…Around the year 2000, Vehicular Ad-hoc Networks (VANETs) were the subject of investigation for many research laboratories [4]. VANET was first used to improve road traffic safety and lower the number of accidents and traffic jams [5].…”

Section: Introductionmentioning

confidence: 99%

A Neuro-Genetic Security Framework for Misbehavior Detection in VANETs

Naqvi,

Chaudhary,

Kumar

2024

IJACSA

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Genetic Algorithm (GA) is an excellent optimization algorithm which has attracted the attention of researchers in various fields. Many papers have been published on works done on GA, but no single paper ever utilized this algorithm for misbehavior detection in VANETs. This is because GA requires manual definition of fitness function and defining a fitness function for VANETs is a complex task. Automating the creation of these fitness functions is still a difficulty, even though studies have found several successful applications of GA. In this study, a neuro-genetic security framework has been built with ANN classifier for detecting misbehavior in VANETs. It leverages a genetic algorithm for feature reduction with ANN as a dynamic fitness function, considering both node behaviors and contextual GPS data. Deployed at the Roadside Unit (RSU) level, the framework detects misbehaving nodes, broadcasting alerts to RSUs, Central Authority and the vehicles. The ANN based fitness function has been employed in GA that enabled the GA to select the best results. The 10-fold CV used enabled the whole system to be unbiased giving a precision accuracy of 0.9976 with recall and F1 scores as 0.9977, and 0.9977 respectively. Comparative evaluations, using the VeReMi Extension dataset, demonstrate the framework's superiority in precision, recall, and F1 score for binary and multiclass classification. This hybrid genetic algorithm with ANN fitness function presents a robust, adaptive solution for VANET misbehavior detection. Its context-aware nature accommodates dynamic scenarios, offering an effective security framework for the evolving threats in vehicular environments.

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Veins based studies for vehicular ad hoc networks

Cited by 14 publications

References 37 publications

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

A Neuro-Genetic Security Framework for Misbehavior Detection in VANETs

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