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Vehicle-to-Everything (V2X) Communications: 3rd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 20 July 2026 | Viewed by 2206

Special Issue Editors


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Guest Editor

Special Issue Information

Dear Colleagues,

Recently, there have been a large number of advancements in communication and computation technologies, and many of these technologies are being embedded in the vehicles of the future. These vehicles, dubbed “networks-on-wheels”, are able to communicate with various elements of intelligent transportation systems, including pedestrians, vehicles, and infrastructure, an attribute leading to the term vehicle-to-everything (V2X). Whether based on cellular networks or dedicated short-range communications (DSRC), V2X technology is the main enabler of advanced driver assistance systems (ADAS) and has the potential to make the transportation system safer, more efficient, and more environmentally friendly.

This Special Issue of Sensors examines recent research and developments in the area of V2X, as well the remaining challenges and road blocks.

Dr. Omprakash Kaiwartya
Dr. Kashif Naseer Qureshi
Guest Editors

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Keywords

  • intelligent vehicles
  • intelligent transportation systems
  • 5G mobile communication
  • vehicle-to-vehicle communication
  • V2X communications
  • vehicle safety
  • vehicle ad hoc networks
  • mobility management

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Published Papers (2 papers)

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Research

30 pages, 2348 KB  
Article
HBV-IoT: Hierarchical Blockchain-Based Vehicular IoT Network Model for Secured Traffic Monitoring and Control Management
by Shuchi Priya, Sushil Kumar, Anjani, Ahmad M. Khasawneh and Omprakash Kaiwartya
Sensors 2026, 26(8), 2511; https://doi.org/10.3390/s26082511 - 18 Apr 2026
Viewed by 427
Abstract
Smart vehicles integrated with the Internet of Things (IoT) provide rich data for traffic management, safety, and liability services; however, existing blockchain-enabled vehicular architectures still struggle with consensus scalability, heavy centralized validation, limited interaction-based corroboration, incomplete attack coverage, and rapid ledger growth. In [...] Read more.
Smart vehicles integrated with the Internet of Things (IoT) provide rich data for traffic management, safety, and liability services; however, existing blockchain-enabled vehicular architectures still struggle with consensus scalability, heavy centralized validation, limited interaction-based corroboration, incomplete attack coverage, and rapid ledger growth. In particular, many schemes either optimize single-layer consensus or embed detailed reputation information into every transaction, while pushing most validation to central servers. This leads to bottlenecks under dense traffic and leaves replay, Sybil-assisted 51% attacks on roadside units (RSUs), and man-in-the-middle tampering only partially addressed. In this context, this paper proposes a novel hierarchical blockchain for vehicular IoT (HBV-IoT) model to address the above challenges. An independent transaction for periodic vehicle status reporting and an interaction-based transaction for corroborating data between vehicles in proximity are presented. Three smart contracts are designed to automate the validation and processing of transactions, and to identify compromised or malicious vehicles within the HBV-IoT network. Algorithms for distributed consensus to accept transactions into the blockchain and for vehicle reputation management to enforce edge-level filtering and down-weighting of malicious nodes are implemented. Simulation results demonstrate significant improvements compared to conventional vehicular blockchain approaches, with performance gains validated by 95% confidence intervals. The model supports practical applications, including real-time traffic monitoring, automated e-challan issuance, intelligent insurance claim processing, and blockchain-based vehicle registration. Full article
(This article belongs to the Special Issue Vehicle-to-Everything (V2X) Communications: 3rd Edition)
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30 pages, 11945 KB  
Article
Intelligent Agent for Resource Allocation from Mobile Infrastructure to Vehicles in Dynamic Environments Scalable on Demand
by Renato Cumbal, Berenice Arguero, Germán V. Arévalo, Roberto Hincapié and Christian Tipantuña
Sensors 2026, 26(2), 508; https://doi.org/10.3390/s26020508 - 12 Jan 2026
Viewed by 667
Abstract
This work addresses the increasing complexity of urban mobility by proposing an intelligent optimization and resource-allocation framework for Vehicle-to-Infrastructure (V2I) communications. The model integrates a macroscopic mobility analysis, an Integer Linear Programming (ILP) formulation for optimal Road-Side Unit (RSU) placement, and a Smart [...] Read more.
This work addresses the increasing complexity of urban mobility by proposing an intelligent optimization and resource-allocation framework for Vehicle-to-Infrastructure (V2I) communications. The model integrates a macroscopic mobility analysis, an Integer Linear Programming (ILP) formulation for optimal Road-Side Unit (RSU) placement, and a Smart Generic Network Controller (SGNC) based on Q-learning for dynamic radio-resource allocation. Simulation results in a realistic georeferenced urban scenario with 380 candidate sites show that the ILP model activates only 2.9% of RSUs while guaranteeing more than 90% vehicular coverage. The reinforcement-learning-based SGNC achieves stable allocation behavior, successfully managing 10 antennas and 120 total resources, and maintaining efficient operation when the system exceeds 70% capacity by reallocating resources dynamically through the λ-based alert mechanism. Compared with static allocation, the proposed method improves resource efficiency and coverage consistency under varying traffic demand, demonstrating its potential for scalable V2I deployment in next-generation intelligent transportation systems. Full article
(This article belongs to the Special Issue Vehicle-to-Everything (V2X) Communications: 3rd Edition)
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