Vehicle Collision Avoidance in a VANET environment by data communication

G, Rakesh; Belwal, Meena

doi:10.1109/iccmc.2019.8819797

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Vehicles communicate with the system via the VehicleClient interface, which is situated within the system's topmost layer, the Client Layer. This interface allows vehicles to access the Obstacle Repository located in the Obstacle Layer, enabling them to record and retrieve obstacle data [24]. This feature allows for a more dynamic and adaptive navigation system, thereby improving traffic efficiency and safety.…”

Section: Literature Reviewmentioning

confidence: 99%

NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments

Juárez,

Bordel

2023

Sensors

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The Vehicular Self-Organizing Network (VANET) is a burgeoning research topic within Intelligent Transportation Systems, holding promise in enhancing safety and convenience for drivers. In general, VANETs require large amounts of data to be shared among vehicles within the network. But then two challenges arise. First, data security, privacy, and reliability need to be ensured. Second, data management and security solutions must be very scalable, because current and future transportation systems are very dense. However, existing Vehicle-to-Vehicle solutions fall short of guaranteeing the veracity of crucial traffic and vehicle safety data and identifying and excluding malicious vehicles. The introduction of blockchain technology in VANETs seeks to address these issues. But blockchain-enabled solutions, such as the Starling system, are too computationally heavy to be scalable enough. Our proposed NeoStarling system focuses on proving a scalable and efficient secure and reliable obstacle mapping using blockchain. An opportunistic mutual authentication protocol, based on hash functions, is only triggered when vehicles travel a certain distance. Lightweight cryptography and an optimized message exchange enable an improved scalability. The evaluation results show that our collaborative approach reduces the frequency of authentications and increases system efficiency by 35%. In addition, scalability is improved by 50% compared to previous mechanisms.

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Section: Literature Reviewmentioning

confidence: 99%

NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments

Juárez,

Bordel

2023

Sensors

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“…This data sharing is fundamental for all those emergency situations in which the propagation of vehicles information can play a key role for solving different issues and avoiding possible car collisions [ 27 , 28 ]. Many of these works exploit the edge paradigm to guarantee better performance in vehicular environment thanks to the low-latency and high-bandwidth characteristics of this approach [ 29 , 30 ].…”

Section: Related Workmentioning

confidence: 99%

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Tropea

Rango

Nevigato³

et al. 2021

Sensors

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In this paper, some collision avoidance systems based on MEC in a VANET environment are proposed and investigated. Micro services at edge are considered to support service continuity in vehicle communication and advertising. This considered system makes use of cloud and edge computing, allowing to switch communication from edge to cloud server and vice versa when possible, trying to guarantee the required constraints and balancing the communication among the servers. Simulation results were used to evaluate the performance of three considered mechanisms: the first one considering only edge with load balancing, the second one using edge/cloud switching and the third one using edge with load balancing and collision avoidance advertising.

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Vehicle Collision Avoidance System Using V2I Protocol in Vehicular Ad Hoc Network

Anjaneyulu¹,

Manindar²

2022

Algorithms for Intelligent Systems

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Vehicle Collision Avoidance in a VANET environment by data communication

Cited by 7 publications

References 11 publications

NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments

NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Vehicle Collision Avoidance System Using V2I Protocol in Vehicular Ad Hoc Network

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