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14 Results Found

  • Article
  • Open Access
16 Citations
4,814 Views
38 Pages

Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues

  • Sedeng Danba,
  • Jingjing Bao,
  • Guorong Han,
  • Siri Guleng and
  • Celimuge Wu

15 September 2022

Internet of Vehicles (IoV) technology has been attracting great interest from both academia and industry due to its huge potential impact on improving driving experiences and enabling better transportation systems. While a large number of interesting...

  • Article
  • Open Access
14 Citations
5,892 Views
28 Pages

Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context

  • Nina Slamnik-Kriještorac,
  • Erik de Britto e Silva,
  • Esteban Municio,
  • Henrique C. Carvalho de Resende,
  • Seilendria A. Hadiwardoyo and
  • Johann M. Marquez-Barja

10 July 2020

By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing t...

  • Article
  • Open Access
10 Citations
3,785 Views
24 Pages

26 October 2021

The expected huge amount of connected cars and applications with varying Quality of Service (QoS) demands still depend on agile/flexible networking infrastructure to deal with dynamic service requests to the control plane, which may become a bottlene...

  • Article
  • Open Access
8 Citations
2,793 Views
26 Pages

30 August 2024

The platooning of cars and trucks is a pertinent approach for autonomous driving due to the effective utilization of roadways. The decreased gas consumption levels are an added merit owing to sustainability. Conventional platooning depended on Dedica...

  • Article
  • Open Access
7 Citations
3,458 Views
15 Pages

Performance Analysis of LDS Multi Access Technique and New 5G Waveforms for V2X Communication

  • Imane Khelouani,
  • Fouzia Elbahhar,
  • Raja Elassali and
  • Noureddine Idboufker

Low Density Signature (LDS) is an emerging non-orthogonal multiple access (NOMA) technique that has never been evaluated under a vehicular channel in order to simulate the environment of a vehicle to everything (V2X) communication. Moreover, the LDS...

  • Article
  • Open Access
802 Views
18 Pages

23 July 2025

Efficient and intelligent spectrum access is crucial for meeting the diverse Quality of Service (QoS) demands of Vehicular Internet of Things (V-IoT) systems in next-generation cellular networks. This work proposes a novel reinforcement learning (RL)...

  • Article
  • Open Access
11 Citations
3,324 Views
17 Pages

Reliability and security when distributing safety messages among vehicles in an extremely mobile environment are prominent issues in Vehicular Ad-Hoc Networks (VANETs). In VANET, data transfer becomes challenging because of inherent features such as...

  • Article
  • Open Access
7 Citations
2,414 Views
20 Pages

A Multi-Channel Packet Scheduling Approach to Improving Video Delivery Performance in Vehicular Networks

  • Pedro Pablo Garrido Abenza,
  • Manuel P. Malumbres,
  • Pablo Piñol and
  • Otoniel López-Granado

When working with the Wireless Access in Vehicular Environment (WAVE) protocol stack, the multi-channel operation mechanism of the IEEE 1609.4 protocol may impact the overall network performance, especially when using video streaming applications. In...

  • Article
  • Open Access
3 Citations
3,679 Views
24 Pages

Channel Allocation for Connected Vehicles in Internet of Things Services

  • Ahmed Abdulhakim Al-Absi,
  • Mohammed Abdulhakim Al-Absi,
  • Mangal Sain and
  • Hoon Jae Lee

24 May 2021

Based on the existing Internet of Vehicles communication protocol and multi-channel allocation strategy, this paper studies the key issues with vehicle communication. First, the traffic volume is relatively large which depends on the environment (cit...

  • Review
  • Open Access
27 Citations
5,940 Views
45 Pages

An Analysis on Contemporary MAC Layer Protocols in Vehicular Networks: State-of-the-Art and Future Directions

  • Lopamudra Hota,
  • Biraja Prasad Nayak,
  • Arun Kumar,
  • G. G. Md. Nawaz Ali and
  • Peter Han Joo Chong

17 November 2021

Traffic density around the globe is increasing on a day-to-day basis, resulting in more accidents, congestion, and pollution. The dynamic vehicular environment induces challenges in designing an efficient and reliable protocol for communication. Time...

  • Article
  • Open Access
48 Citations
6,661 Views
20 Pages

A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles

  • Victor R. Kebande,
  • Feras M. Awaysheh,
  • Richard A. Ikuesan,
  • Sadi A. Alawadi and
  • Mohammad Dahman Alshehri

8 September 2021

Continuous and emerging advances in Information and Communication Technology (ICT) have enabled Internet-of-Things (IoT)-to-Cloud applications to be induced by data pipelines and Edge Intelligence-based architectures. Advanced vehicular networks grea...

  • Article
  • Open Access
4 Citations
3,558 Views
28 Pages

4 October 2019

In the vehicular ad-hoc networks (VANETs), wireless access in vehicular environments (WAVE) as the core networking technology is suitable for supporting safety-critical applications, but it is difficult to guarantee its performance when transmitting...

  • Article
  • Open Access
1,476 Views
68 Pages

From Sensors to Insights: Interpretable Audio-Based Machine Learning for Real-Time Vehicle Fault and Emergency Sound Classification

  • Mahmoud Badawy,
  • Amr Rashed,
  • Amna Bamaqa,
  • Hanaa A. Sayed,
  • Rasha Elagamy,
  • Malik Almaliki,
  • Tamer Ahmed Farrag and
  • Mostafa A. Elhosseini

28 September 2025

Unrecognized mechanical faults and emergency sounds in vehicles can compromise safety, particularly for individuals with hearing impairments and in sound-insulated or autonomous driving environments. As intelligent transportation systems (ITSs) evolv...

  • Article
  • Open Access
11 Citations
5,773 Views
24 Pages

3 June 2019

This paper proposes the lightweight autonomous vehicle self-diagnosis (LAVS) using machine learning based on sensors and the internet of things (IoT) gateway. It collects sensor data from in-vehicle sensors and changes the sensor data to sensor messa...