Vehicular Networks and Communications, Volume II

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 5846

Special Issue Editors


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Guest Editor
Department of Engineering and Design, University of Sussex, Brighton BN1 9RH, UK
Interests: vehicular communications; IoT; wireless communications and networking
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Guest Editor
School of Power Engineering, Chongqing University, Chongqing 400030, China
Interests: energy saving; fuel cell; micro systems
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Special Issue Information

Dear Colleagues,

Vehicular networks have the potential to address most traffic-related issues ranging from traffic jams and accidents, to pollution control and traffic management. This is possible by the effective utilization of accurate traffic prediction, and cooperative traffic information sharing over vehicular networks. Due to the recent advances in sensor and communication technologies, vehicular networks are transforming towards the Internet of Connected Vehicles (IoV). Due to the enabling technologies for heterogeneous vehicular communications, including Vehicle-to-Vehicle (V2V), Vehicle-to-Roadside unit (V2R), Vehicle-to-Personal Devices (V2P), Vehicle-to-Mobile-Infrastructure (V2I), and Vehicle-to-Sensor (V2S) communications. In order to enable a Vehicle-to-Everything (V2X)-centric IoV framework, various technical questions need to be addressed, focusing on the quality of service in heterogeneous wireless communication environments.

You are welcome to submit an unpublished original research work related to the theme of ‘Vehicular Networks and Communications’ in sensor-enabled communication network environments.

Dr. Omprakash Kaiwartya
Dr. Zhengguo Sheng
Prof. Wei-Chang Yeh
Prof. Qian Fu
Guest Editors

Manuscript Submission Information

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Keywords

  • V2X Communications, V2V, V2R, V2P, V2I, V2S
  • Routing, Data Dissemination, Data Aggregation, Path Section, Optimization
  • Medium Access Protocols, Congestion Control, Prioritization Techniques
  • Green Computing, Energy Consumption, Energy Harvesting, Lifetime Maximixation
  • Secure Communication, Security Optimization, Distibuted Security
  • Privacy Preservation, Privacy Loss, Secrate Communication
  • Video Transmission, Video Encoding/Decoding, Video Compression
  • Edge Computing, Fog Computing, Cloud Computing, Distributed Computing
  • Localization, Geographic, GPS outage, GPS free, GPS assisted
  • Propagation Modelling, Interference, Path Loss Modelling

Published Papers (2 papers)

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Research

22 pages, 3028 KiB  
Article
Simplified Swarm Optimization for the Heterogeneous Fleet Vehicle Routing Problem with Time-Varying Continuous Speed Function
by Wei-Chang Yeh and Shi-Yi Tan
Electronics 2021, 10(15), 1775; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10151775 - 24 Jul 2021
Cited by 19 | Viewed by 2637
Abstract
Transportation planning has been established as a key topic in the literature and practices of social production, especially in urban contexts. To consider traffic environment factors, more and more researchers are taking time-varying factors into account when scheduling their logistic activities. The time-dependent [...] Read more.
Transportation planning has been established as a key topic in the literature and practices of social production, especially in urban contexts. To consider traffic environment factors, more and more researchers are taking time-varying factors into account when scheduling their logistic activities. The time-dependent vehicle routing problem (TDVRP) is an extension of the classical Vehicle Routing Problem with Time Windows (VRPTW) by determining a set of optimal routes serving a set of customers within specific time windows. However, few of them use the continuous speed function to express the time-varying. In practice, many vehicle routing problems are addressed by a fleet of heterogeneous vehicles with different capacities and travel costs including fix costs and variable costs. In this study, a Heterogeneous Fleet Vehicle Routing Problem (HFPRP) Time-Varying Continuous Speed Function has been proposed. The objective is to minimize distribution costs, which contained fixed costs of acquiring and variable fuel costs. To address this problem, our research developed a mathematical model and proposed a Simplified Swarm Optimization (SSO) heuristic for HFVRP with Time-Varying Continuous Speed Function. Full article
(This article belongs to the Special Issue Vehicular Networks and Communications, Volume II)
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27 pages, 4305 KiB  
Article
Road-Based Multi-Metric Forwarder Evaluation for Multipath Video Streaming in Urban Vehicular Communication
by Ahmed Aliyu, Abdul Hanan Abdullah, Ismail Fauzi Isnin, Raja Zahilah Raja Mohd. Radzi, Arvind Kumar, Tasneem S. J. Darwish and Usman Mohammed Joda
Electronics 2020, 9(10), 1663; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics9101663 - 13 Oct 2020
Cited by 2 | Viewed by 1693
Abstract
In video streaming over vehicular communication, optimal selection of a video packet forwarder is a daunting issue due to the dynamic nature of Vehicular Ad-hoc NETworks (VANETs)and the high data rates of video. In most of the existing studies, extensive considerations of the [...] Read more.
In video streaming over vehicular communication, optimal selection of a video packet forwarder is a daunting issue due to the dynamic nature of Vehicular Ad-hoc NETworks (VANETs)and the high data rates of video. In most of the existing studies, extensive considerations of the essential metrics have not been considered. In order to achieve quality video streaming in vehicular network, important metrics for link connectivity and bandwidth efficiency need to be employed to minimize video packet error and losses. In order to address the aforementioned issues, a Road-based Multi-metric Forwarder Evaluation scheme for Multipath Video Streaming (RMF-MVS) has been proposed. The RMF-MVS scheme is adapted to be a Dynamic Self-Weighting score (DSW) (RMF-MVS+DSW) for forwarder vehicle selection. The scheme is based on multipath transmission. The performance of the scheme is evaluated using Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM), Packet Loss Ratio (PLR) and End-to-End Delay (E2ED) metrics. The proposed scheme is compared against two baseline schemes including Multipath Solution with Link and Node Disjoint (MSLND) and Multimedia Multi-metric Map-aware Routing Protocol (3MRP) with DSW (3MRP+DSW). The comparative performance assessment results justify the benefit of the proposed scheme based on various video streaming related metrics. Full article
(This article belongs to the Special Issue Vehicular Networks and Communications, Volume II)
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