Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies, standardization bodies, industry analytics and future directions

Vehicular Communications, Год журнала: 2023, Номер 43, С. 100638 - 100638

Опубликована: Июль 11, 2023

Язык: Английский

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An Energy-Efficient Data Offloading Strategy for 5G-Enabled Vehicular Edge Computing Networks Using Double Deep Q-Network

Wireless Personal Communications, Год журнала: 2023, Номер 133(3), С. 2019 - 2064

Опубликована: Дек. 1, 2023

Язык: Английский

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Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 94, С. 101878 - 101878

Опубликована: Фев. 20, 2025

Язык: Английский

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Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review

Sensors, Год журнала: 2024, Номер 24(2), С. 337 - 337

Опубликована: Янв. 5, 2024

Reconfigurable intelligent surfaces (RIS) are expected to bring about a revolutionary transformation in vehicular networks, thus paving the way for future characterized by connected and automated vehicles (CAV). An RIS is planar structure comprising many passive elements that can dynamically manipulate electromagnetic waves enhance wireless communication reflecting, refracting, focusing signals programmable manner. exhibits substantial potential improving vehicle-to-everything (V2X) through various means, including coverage enhancement, interference mitigation, signal strength, providing additional layers of privacy security. This article presents comprehensive survey explores emerging opportunities arising from integration into networks. To examine convergence V2X communications, adopted holistic approach, highlighting benefits challenges this combination. In study, we examined several applications RIS-aided communication. Subsequently, delve fundamental technologies empower encompassing mobile edge computing (MEC), non-orthogonal multiple access (NOMA), millimeter-wave (mmWave), Artificial Intelligence (AI), visible light (VLC). Finally, stimulate further research domain, emphasize noteworthy avenues exploration.

Язык: Английский

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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network

Information, Год журнала: 2025, Номер 16(3), С. 202 - 202

Опубликована: Март 5, 2025

The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects efficiency security whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in algorithms by providing robust mechanism achieve fault-tolerant deterministic distributed networks. With development 5G network technology, features high bandwidth, low latency, reliability provide new approach for optimization. To take advantage network, this paper proposes 5G-PBFT, which an improved practical with three ways improve PBFT. Firstly, 5G-PBFT constructed reputation model based on node behavior. dynamically selected nodes value ensure selection. Next, primary using verifiable random function, giving consideration randomness selection process. Finally, we latency feature omit submission stage reduce communication complexity from ON2 ON, where N denotes number nodes. simulation results show that achieves 26% increase throughput 63.6% reduction transaction compared PBFT, demonstrating significant improvements.

Язык: Английский

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Intelligent Network Slicing in V2X Networks – A Comprehensive Review

Journal of Artificial Intelligence and Technology, Год журнала: 2023, Номер unknown

Опубликована: Март 18, 2023

ABSTRACT- The rise of the internet things (IoT) and autonomous systems has made connecting vehicles more critical. Connected can create diverse communication networks that improve environment offer contemporary applications. With advent 5G networks, vehicle-to-everything (V2X) are expected to be highly intelligent, reside on superfast, reliable, low-latency connections. Network slicing, Machine Learning (ML), Deep (DL) related network automation optimization in V2X communication. (ML/DL) with slicing aims optimize performance, reliability network, personalized services, reduced costs, scalability enhance overall driving experience. These advantages ultimately lead a safer efficient transportation system. However, existing Long-Term Evolution (LTE) enabling technologies cannot meet such dynamic requirements without adding higher complexity levels. learning algorithms mitigate levels, which instrumental vehicular systems. This study review based proposed taxonomy describes enablers different configuration ML algorithm used control manage slice. also reviews various research works established through enable use cases, focusing considering management. enabler considered light requirements, particular configurations, underlying methods algorithms, some critical challenges possible solutions available. paper concludes future roadmap by discussing open issues directions.

Язык: Английский

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Road to Efficiency: V2V Enabled Intelligent Transportation System

Electronics, Год журнала: 2024, Номер 13(13), С. 2673 - 2673

Опубликована: Июль 8, 2024

Intelligent Transportation Systems (ITSs) have grown rapidly to accommodate the increasing need for safer, more efficient, and environmentally friendly transportation options. These systems cover a wide range of applications, from control management self-driving vehicles improve mobility while tackling urbanization concerns. This research looks closely at important infrastructure parts vehicle-to-vehicle (V2V) communication systems. It focuses on different types architectures that are out there, including decentralized mesh networks, cloud-integrated hubs, edge computing-based architectures, blockchain-enabled hybrid cellular ad-hoc AI-driven dynamic networks. review aims critically analyze compare key components these with their contributions limitations. Finally, it outlines open challenges future technological advancements, encouraging development robust interconnected V2V in ITSs.

Язык: Английский

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Advancing Digital Twin-Based Collision Avoidance: A Comprehensive Analysis of Communication Networks for Safety-Critical Applications in Industry 4.0

Sensors, Год журнала: 2024, Номер 24(5), С. 1405 - 1405

Опубликована: Фев. 22, 2024

This study presents a theoretical framework for defining the performance level of wireless safety functions within industrial environments. While acknowledging simplifications inherent in our approach—primarily based on packet loss rates as measure system performance—the underscores dynamic challenges posed by real-world warehouses. Through an situ measurement forklift truck system, we validate proposed method and emphasize need more nuanced examination communication complex settings. The advocates expanded that considers fluctuations warehouse dynamics, accounting their impact and, consequently, precision performance-level assessments. Furthermore, research highlights complexity introduced characteristics not addressed simplified model, urging future investigations to incorporate these factors comprehensive understanding systems. absence specific criteria systems existing standards emphasizes necessity specialized addressing aspects unique applications.

Язык: Английский

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"It Must Be Gesturing Towards Me": Gesture-Based Interaction between Autonomous Vehicles and Pedestrians

Опубликована: Май 11, 2024

Interacting with pedestrians understandably and efficiently is one of the toughest challenges faced by autonomous vehicles (AVs) due to limitations current algorithms external human-machine interfaces (eHMIs). In this paper, we design eHMIs based on gestures inspired most popular method interaction between human drivers. Eight common were selected convey AVs' yielding or non-yielding intentions at uncontrolled crosswalks from previous literature. Through a VR experiment (N1 = 31) following online survey (N2 394), discovered significant differences in usability gesture-based compared eHMIs. Good increase efficiency pedestrian-AV while ensuring safety. Poor gestures, however, cause misinterpretation. The underlying reasons explored: ambiguity regarding recipient signal whether are precise, polite, familiar pedestrians. Based empirical evidence, discuss potential opportunities provide valuable insights into developing comprehensible future support better AVs other road users.

Язык: Английский

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Enhancing Security and Scalability in Vehicular Networks: A Bayesian DAG Blockchain Approach With Edge-Assisted RSU

IEEE Access, Год журнала: 2024, Номер 12, С. 116558 - 116571

Опубликована: Янв. 1, 2024

Fifth Generation (5G) enabled Vehicle to Everything (V2X) communication emerges as a promising solution for seamless in Vehicular Ad hoc Networks (VANET) comprising both driver-based and autonomous vehicles overcome security threats. The existing approaches focused on either vehicle or message authentication using blockchain technology; however, doesn't achieve overall face scalability issues due the linearity of blockchain. In this paper, network is initially partitioned into M×M grid structures, Edge Assisted Roadside Units (ERSU) form graph an Arithmetic Optimization Algorithm (AOA) with entities grid. Bayesian DAG blockchain-based decentralized carried out mitigate reduce computational complexity Trusted Authorities (TA). anonymity preserved by generating Virtual ID means Enhanced Blowfish (EBA). proposed approach simulated OMNET++ SUMO simulation tools evaluated several performance metrics. results show that our work outperforms all metrics, making it valuable candidate ensuring 5G-V2X communication.

Язык: Английский

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