Wireless Communication and Internet of Vehicles

Dear Colleagues,

The Internet of Vehicles (IoVs) is rapidly emerging as a transformative force in the realm of transportation, creating a promising future where vehicles are no longer isolated entities but integral components of a connected ecosystem. At its core, the IoVs envisions a dynamic network of vehicles seamlessly communicating with each other, traffic infrastructure, pedestrians, and the broader transportation grid. This interconnectedness, made possible by wireless communication technologies, is ushering in an era of intelligent mobility, safety enhancement, and unparalleled convenience. Wireless communication stands as the linchpin of the IoVs, serving as the conduit through which information flows, decisions are made, and actions are executed. The deployment of wireless communication technologies in vehicles, collectively known as Vehicle-to-Everything (V2X) communication, has far-reaching implications for the automotive industry and society as a whole.

The aim of this Special Issue is to gather outstanding research papers with a dedicated focus on the utilization of wireless communication technologies within the IoVs, and to create a scholarly platform that unites researchers and experts from both academic and industrial domains, enabling them to share their pioneering insights and contributions related to wireless communication in the context of the IoVs. Specifically, it solicits novel approaches encompassing architectures, protocols, theoretical frameworks, and advanced algorithms that harness the power of wireless communication to enhance and optimize the Internet of Vehicles.

Topics of interest for this Special Issue include, but are not limited to:

• V2X Communication Protocols: Investigating the latest advancements in V2X communication protocols, including 5G, cellular V2X (C-V2X), and dedicated short-range communication (DSRC).
• Wireless Network Optimization: Delving into advanced techniques for optimizing wireless networks to meet the stringent demands of the IoVs, including low-latency, high-reliability communication.
• Security and Privacy: Analyzing strategies and state-of-the-art solutions aimed at ensuring the robust security and privacy of wireless communication within IoVs networks.
• Spectrum Management: Discussing innovative spectrum allocation and management strategies that accommodate the escalating requirements of IoVs communication.
• Energy-Efficient Communication: Exploring energy-efficient wireless communication solutions for the IoVs to extend the battery life of connected vehicles and reduce their environmental footprint.
• Vehicular Edge Computing: Investigating the role of edge computing in the IoVs to offload computation tasks from vehicles, reduce latency, and enhance real-time decision making.
• New applications and use cases: Proposing novel and future use cases witihn the IoV framework, with the aim of investigating the performance of wireless communications fort he forthcoming vehicular applications.

Prof. Dr. Guoping Tan
Prof. Dr. Junhui Zhao
Prof. Dr. Romeo Giuliano
Guest Editors

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• internet of vehicles
• wireless commlunications
• V2X
• wireless networks
• mobile edge computing
• security and privacy of IoVs

Title: A branch and bound algorithm for wireless charging pad deployment in wireless rechargeable sensor networks
Authors: Chang Wu Yu
Affiliation: Department of Computer Science and Information Engineering, Chung Hua University, Taiwan
Abstract: The recent advancement in wireless power transmission (WPT) has led to the development of wireless rechargeable sensor networks (WRSNs). However, most of the recent previous work has focused on charging sensor nodes using wireless charging vehicles (WCVs) equipped with high-capacity batteries and WPT devices. While these schemes can mitigate the energy problem to some extent, they overlook two primary challenges of applied WCVs: off-road navigation and vehicle speed limitations. To overcome these challenges, previous work proposed a new WRSN model equipped with one drone coupled with the minimum number of pads deployed to charge the drone when it cannot reach the subsequent stop. The major weakness of previous studies is either they only consider deploying a wireless charging pad at the locations of the wireless sensor nodes or the number of used pads is too large. In this work, we introduce a branch and bound scheme that utilizes the Quad-Tree concept to address the wireless charging pad deployment problem and reduce the number of deployed pads at the same time. Extensive simulations were conducted to illustrate the merits of the proposed schemes by comparing them with different previous schemes on maps of varying sizes.