The cognitive unmanned aerial vehicle (UAV) communication system has emerged as a pivotal technology in addressing the scarcity of spectral resources for UAV communications, but the jamming and eavesdropping attacks are severe due to the high-quality air-to-ground communication links. Consequently, this paper introduces a UAV-enabled cooperative jammer to disrupt the eavesdropping activities of active

Vehicle-to-infrastructure (V2I) communication is the basis for vehicles to obtain information about the road ahead. The confidentiality and reliability of V2I communication guarantee traffic safety and smooth flow. Authenticated key agreement (AKA) is the most commonly used technique to establish secure communication channels. Signature-based AKA inevitably exposes the identity information of vehicles

The extensive sharing of perceptual data between vehicles and between vehicles and roads has significantly enhanced the performance of intelligent transportation system (ITS). The current vehicular networks using sub-6 GHz struggle to meet the demands for high-rate, low-latency, and highly reliable communication. To address this issue, this paper proposes a perceptual data sharing strategy based on

Due to their autonomous operation, high mobility, and real-time communication capabilities, 6G-supported Unmanned Aerial Vehicles (6G-UAVs) (i.e., drones) are increasingly being utilized to enhance data collection and management in Intelligent Transportation Systems (ITSs). Despite their manifold benefits, 6G-supported UAV-based ITS (6G-U-ITS) faces unique security challenges beyond conventional cyber

Unmanned Aerial Vehicle (UAV) technology has advanced rapidly, with broad use in both the military and commercial sectors. As a result, multi-UAV networks, also known as Flying Ad Hoc Networks (FANETs), have become a vital part of current communication systems. However, FANETs confront numerous challenges such as limited energy resources, high mobility, frequent topological changes, and inconsistent

The problem of efficient trajectory optimisation for Unmanned Aerial Vehicles (UAVS) in dynamic and constrained environments is one where energy efficiency, spatial coverage, and path smoothness need to be balanced. The existing methods, namely RRT*, A*, and Dijkstra, are popular but generally heuristic and do not provide globally optimal solutions. They face significant limitations while dealing with

This paper investigates the impact of rigid communication topologies (RCTs) on the performance of vehicular platoons, aiming to identify beneficial features in RCTs that enhance vehicles behavior. Four performance metrics are introduced, focusing on safety, energy consumption, passenger comfort, and robustness of vehicular platoons. The safety metric is based on momentary distances between neighboring

Non-terrestrial networks (NTNs) typically consist of UAV swarms equipped with multiple sensors that generate massive data, requiring real-time communication to a gateway for further processing. Hence, millimeter-wave (mmWave) communication technologies operating above 24 GHz emerge as a suitable solution for enabling high-speed intra-UAV swarm communication. However, mmWave communication technologies

The Internet of Vehicles (IoV) faces increasing security challenges with the advent of quantum computing, which threatens traditional cryptographic protocols while demanding efficient authentication mechanisms for large-scale vehicle networks. This paper presents DAME-IoV, a Dynamic Adaptive Multi-Edge authentication protocol that provides post-quantum security while leveraging edge computing capabilities

With the rapid development of Unmanned aerial vehicle (UAV) technology and the high flexibility and maneuverability of UAV itself, UAV will play a very important role in the development of integrated sensing and communication (ISAC) in the future. In this paper, the communication and sensing system supported by multiple UAVs is studied. And we propose a new ISAC balance mode (BISAC). In this mode,

With the continuous emergence of high-mobility communication scenarios, such as the Internet of Vehicles (IoV) and Vehicle to Vehicle (V2V) communications, more unique challenges have appeared in mobile communications, due to the severe Doppler frequency shift and fast time-varying channel caused by high mobility. Meanwhile, the moving speed, data volume, and quality of service are becoming more and

Non-Orthogonal Multiple Access (NOMA) is an efficient communication technique that can offer improved spectral efficiency, ultra-low latency and massive connectivity and its integration with Free Space Optical (FSO) communication can improve the network capacity to a great extent. In this manuscript, an Unmanned Aerial Vehicle (UAV) is employed as a relay in an FSO/FSO downlink network, comprising

Securing data transmission and detecting cyber-attacks in consumer Vehicular Ad hoc Networks (VANETs) pose significant challenges due to the highly dynamic topology of the network and frequent mobility of nodes. These characteristics enable attackers to exploit vulnerabilities and evade detection, making real-time attack detection complex while maintaining the Quality of Service (QoS). In this paper

Currently, the use of Vehicular Ad-Hoc Networks (VANETs) has gained significant attention in toll management systems and traffic control. VANETs facilitate effective communication by connecting Roadside Units (RSUs) and vehicles. VANETs can ease decision-making for drivers, meanwhile, they carry some problems with security since they often modify topology. In VANET, the Sybil attack is a specific attack

Although autonomous underwater vehicles can achieve complex tasks in harsh and inaccessible marine environments, they face several challenges related to the harsh channel effects and limited available bandwidth, making reliable channel estimation crucial task for achieving robust communication. Therefore, to track channel effects, a significant portion of bandwidth is usually reserved for overhead

A traditional power grid integrates a Smart Grid (SG) technology to reduce greenhouse gases and increase the efficiency of energy transition. The Vehicle to Grid (V2G) is raised and combined with the SG network to fulfill these objectives of the SG technology. The two-way power flow in the V2G technology allows an Electrical Vehicle (EV) to charge its battery and discharge surplus energy back to the

Vehicle-to-Vehicle (V2V) networking enhances transportation safety and efficiency by enabling vehicles to share alerts. However, malicious vehicles may inject false messages, leading to disputes. While certificates help ensure security, Certificate Revocation List (CRLs) may be outdated in low-connectivity areas, making it hard to verify conflicting reports. Reputation systems, using a pre-signature

The advancement in wireless communication has significantly resulted in unprecedented new applications and services. This, coupled with Next-Generation Networking (NGN) and the recent advances in cellular communication and networking, predominantly the Fifth-Generation (5G) network, has resulted in the rise of new technological solutions. Unmanned Aerial Vehicles (UAVs) is one such solution that has

In the field of connected autonomous vehicles, platoons - where vehicles closely follow one another - have shown promising results in enhancing safety, traffic flow, and fuel efficiency. This study addresses the unique challenges of platoon lane changes, where multiple platoon vehicles have lane change intention and must remain together after the maneuver is completed. We focus on highway environments

Flying ad-hoc networks (FANETs) play a crucial role in disaster response, surveillance, and remote sensing. However, their highly dynamic topology and frequent link disruptions pose significant challenges to efficient routing. Existing protocols suffer from excessive control overhead, unstable links, and inefficient energy utilization, that limits their practical deployment. To address these issues

The Internet of Vehicles (IoV) requires advanced safety, security, and services in Intelligent Transportation Systems (ITS). Frequent broadcast message intervals and Dedicated Short-Range Communication (DSRC) make validating messages in such short timeframes extremely challenging. Additionally, current authentication protocols cannot meet the demands of the environment due to high communication and

Natural disasters often damage the ground infrastructure, leading to communication failures that hamper emergency response efforts. Solutions dependent on ground-based infrastructure suffer from severe limitations in these scenarios owing to fixed positions, limited energy sources, and limited coverage. Existing methodologies, often relying on terrestrial relay points or fixed infrastructure, face

With the presence of an array of passive elements embedded in a reconfigurable intelligent surface (RIS), estimation of time-varying channels between a fast-moving user and the fixed base station (BS) is more challenging than conventional static channels. In this paper, we propose a joint technique for the estimation of carrier frequency offset (CFO) and doubly selective channel (DSC), and data detection

In recent years, Vehicular Ad-hoc Networks (VANETs) have gained widespread acceptance to enable vehicles to communicate and exchange critical information, such as road conditions, traffic congestion, speed, and vehicle locations. Nonetheless, the wireless nature of VANET communication renders it susceptible to various security attacks. To counter these vulnerabilities, privacy-preserving authentication

This article investigates the joint optimization of task offloading and computation scheduling in low Earth orbit (LEO) satellite networks, where each LEO satellite is equipped with a reconfigurable intelligent surface (RIS). By considering the inherent characteristics of tasks and the energy consumption associated with task execution, we define a system utility function and formulate the problem as

Vehicular networking plays an indispensable role in enhancing road safety and traffic efficiency. Although existing technologies have made significant progress in reusing vehicle-to-infrastructure (V2I) link resources for vehicle-to-vehicle (V2V) links, they still face challenges such as the high dimensionality of the joint action space and unsatisfactory optimization with limited in-vehicle radio

The suddenness of natural disasters demands rapid response and timely information. The rapid development of unmanned aerial vehicle (UAV) technology offers new opportunities for post-disaster assessment. At the same time, UAV swarms covering multiple post-disaster regions also face challenges. Uneven UAV utilization and region allocation can lead to overuse and excessive energy consumption of certain

To ensure reliable data transmission in flying ad hoc networks (FANETs), efficient routing protocols are necessary to establish communication paths in FANETs. Recently, reinforcement learning (RL), particularly Q-learning, has become a promising approach for overcoming challenges faced by traditional routing protocols due to its capacity for autonomous adaptation and self-learning. This study presents

Recently, the rapid development of wireless technologies, low-priced equipment, advances in networking protocols, and access to modern communication, electrical, and sensing technologies have led to the evolution of flying ad hoc networks (FANETs). However, the high movement of unmanned aerial vehicles (UAVs) in these networks causes iterated failures of communication links and constant changes in

This paper investigates the potential of Free Space Optical (FSO) communication technology for high-speed train (HST) systems by developing mathematical models for G2T-FSO (Ground to Train) communication links across single, curved, and double-curved tracks. The key contribution of this research is the introduction of novel G2T-FSO models, incorporating multiple transmitters (single, double, triple

Positioning is a crucial element of the new connected world and its integration with the current and future releases of the mobile system technology has been gaining interest since the introduction of the 5G verticals. In the application layer, positioning provides an additional and, in many cases, a fundamental value for the implementation of services like terrestrial and non-terrestrial vehicles

This paper considers a mobile jammer-aided unmanned aerial vehicle (UAV) relay communication system, where a relay UAV assists information transmission between the source node and the destination node, while a friendly jammer UAV emits an interference signal to the eavesdropper to suppress its eavesdropping behavior. The secure energy efficiency (SEE) maximization problem is studied. The objective

Non-orthogonal multiple access (NOMA) has recently been integrated into beamspace multiple-input multiple-output (MIMO) for improved capacity and throughput. To apply the promising beamspace MIMO-NOMA in practical millimeter-wave applications, finite blocklength has to be considered. Therefore, in this article, we consider the effective throughput as the performance metric, which incorporates both

Empowered with edge caching technology, the near-end storage resources of edge nodes in the Internet of Vehicles (IoV) can be fully utilized to accelerate the process of responding to content requests. In this paper, we propose a cooperative edge caching scheme utilizing regional feature and dynamic vehicle clustering (CRFDC). We take into consideration the fact that the change frequency of content

The delay-sensitive applications, such as self-driving, smart transportation, navigation, and augmented reality assistance, can be evolved in vehicular ad-hoc networks (VANETs) using one of the leading paradigms, fog computing (FC). The intelligent vehicles are connected to the roadside infrastructure, such as high power nodes (HPNs) and roadside units (RSUs), also called fog nodes (FNs), for obtaining

The self-interference caused by simultaneous uplink and downlink transmissions, along with inter-cell co-channel interference, significantly challenges the benefits of full-duplex transmission in future multi-UAV assisted Air-Ground Integrated OFDMA Networks. Effective resource allocation is crucial for achieving high system performance in these complex full-duplex environments. This paper investigates

Internet of Vehicles (IoV) uses a variety of communication technologies to connect vehicles, road infrastructure, and the cloud to achieve real-time information exchange and intelligent interaction between vehicles, vehicles and infrastructure, vehicles and service providers so as to improve traffic safety, traffic efficiency, and ride experience. Some scholars have proposed the use of Multipath Transmission

The extensive application of the Metaverse in the Internet of Vehicles (IoV) has provided broader application scenarios and innovative opportunities for intelligent vehicle travel. The implementation of the Metaverse, which necessitates low latency, high precision, and swift feedback and interaction, can be effectively addressed by harnessing unmanned aerial vehicle (UAV)-assisted IoV technology. However

Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) applications vary widely including data monitoring, data collection and analysis, intelligent navigation and object tracking, surveillance and emergency response, vehicular and intelligent transport, and agricultural, marine, and photogrammetry. Mobile Edge Computing (MEC)-based UAV-assisted IoT networks enable resource-constrained mobile

This study explores the need for efficient resource allocation in fifth generation (5G) New Radio (NR) sidelink communication for cellular vehicle-to-everything (C-V2X) applications. With the advent of 5G networks, C-V2X can enable direct connection between neighboring vehicles and infrastructure without relying on the cellular network. However, direct communication between devices in 5G NR sidelink

Unmanned aerial vehicles (UAVs) are being developed as a promising technology to assist mobile edge computing (MEC) systems due to their reliable wireless communication, flexible computing service capabilities, and flexible deployment. However, in the face of huge information and demanding task delay, it is a challenging problem to reduce the system cost. This paper studies task offloading and cache

Mobile Edge Computing (MEC) effectively alleviates the computational burden faced by vehicles in processing compute-intensive tasks due to resource limitations. However, traditional approaches typically employ coarse-grained task offloading strategies that utilize sequential protocols and discrete action spaces, resulting in high latency and increased energy consumption. These limitations render such

In vehicular networks, the increasing demand for computational resources often exceeds the capabilities of in-vehicle devices. To address these challenges, we propose a cloud-edge-device collaborative framework integrated with a Multi-Agent Deep Reinforcement Learning (MADRL) algorithm for dynamic optimization of task offloading and resource allocation. Experimental evaluations demonstrate the proposed

Vehicular Ad Hoc Networks (VANETs) are high-speed mobile wireless communication networks that play a pivotal role in shaping the future of intelligent transportation systems. In many fields, certificateless aggregate signcryption (CLASC) serves as a reliable method that reduces computational and communication overheads while enhancing security. Due to these advantages, in recent years, an increasing

In complex and high-mobility vehicular communication networks, rapidly changing channel conditions, signal interference, and stringent latency requirements of safety services pose significant challenges to existing wireless resource allocation schemes. We propose a novel resource allocation method named AMADRL. It is based on the multi-agent deep reinforcement learning (MADRL) algorithm and incorporates

Advanced air mobility, the next evolution in air transportation, emphasizes the crucial need for a high level of automation to enable the coexistence of manned and unmanned aircraft and transform airspace from segregated to unsegregated, empowering aircraft to manage self-separation and collision avoidance autonomously. This paper introduces a separation assurance and collision avoidance that adopts

Integrated Vehicular Networks (VANETs) constructed through the collaboration of various heterogeneous networks, such as 4G, 5G, satellite networks, and Unmanned Aerial Vehicle (UAV) networks, provide an effective solution to the resource constraints between vehicles and edge fog computing nodes. Reordering Buffer (RB) is crucial in concurrent data transmission between vehicles and edge fog computing

Cooperative, Connected and Automated Mobility (CCAM) is a new paradigm adopted by academia and industry in order to provide safe, secure and sustainable mobility on all kinds of roads (highways, urban and rural roads). CCAM takes advantage of Cooperative Intelligent Transport Systems (C-ITS) to improve safety and to reduce traffic congestion thanks to communication and cooperation among all relevant

As a key contribution, this article presents the first successful application of the newly developed Vivaldi Non-uniform Profile Antenna (VNSPA) theory to a Vivaldi Tapered Slot Antenna (VTSA) operating in the 26 GHz band (24.25–27.5 GHz). The proposed design achieves both compactness and simplicity while maintaining high performance. This antenna is a promising candidate for vehicular communication

The surge in wireless network attacks has intensified the focus on physical layer security (PLS) within academia and industry. As PLS provides security solutions by leveraging the randomness of wireless channels without the need for encryption/decryption keys, fading channels play a major role in PLS solutions. This survey aims to understand the effect of fading on PLS for 5G/6G communications by utilizing

Vehicular digital twin network is partitioned into multiple networks either due to the geographical differences or their accelerating expansion, which necessitates a secure and incessant transition of cross-regional vehicles. Therefore, in this dynamic topology, the handover process for cross-regional vehicles becomes imperative. The literature encompasses an abundance of blockchain-based handover

Currently, resource allocation in Unmanned Aerial Vehicles (UAVs) is a major topic of discussion among industrialists and researchers. Considering the different emerging applications of UAVs, if the resource allocation problem is not addressed effectively, the upcoming UAV applications will not serve their proposed purpose. Although there are numerous and diverse research works addressing the resource

The vehicle ad hoc network, or VANET, is a fantastic tool for smart transport since it improves efficiency, management, traffic safety, and comfort. Distributed Denial of Service (DDoS) attacks on VANET infrastructure have the potential to compromise traffic safety by causing collisions and fatalities. Therefore, while integrating VANETs into intelligent transport networks, the pertinent security issues

Detecting zero-day attacks is a critical challenge in the Internet of Vehicles (IoV). Due to the limited availability of labeled attack data, anomaly-based methods are predominantly employed. However, the variability in the driving environment and behavioral patterns of vehicles introduces significant fluctuations in normal behavior, which in turn leads to high false positive rates when using these

The next generation (5G/B5G) vehicular cognitive radio networks (VCRNs) flag the track to intelligence-based autonomous driving in the initiation of future wireless networking and make daily vehicular operation more convenient, greener, efficient, and safer. However, with the continuous evolution of vehicles, the vehicular network becomes large-scale, dynamic, and heterogeneous, making it tough to

Flying ad hoc networks (FANETs) are a new example of ad hoc networks, which arrange unmanned aerial vehicles (UAVs) in an ad hoc form. The features of these networks, such as the movement of UAVs in a 3D space, high speed of UAVs, dynamic topology, limited resources, and low density, have created vital challenges for communication reliability, especially when designing routing methods in FANETs. In

Connected Vehicles (CVs) are a crucial element in the evolution of smart transportation systems, utilizing communication and sensing technologies to interact with each other and with infrastructure. As these vehicles become more interconnected, the risk of their components being affected by anomalies or intentional malicious attacks grows. It is essential, therefore, to identify and filter out any

Data aggregation is evolving into an extremely crucial role for facilitating decision-making in Internet of Vehicles (IoV). Multi-region data is a typical attribute of IoV, containing sensitive information and driving trajectories. However, the existing privacy-preserving schemes face problems such as regional statistics, messages integrity, and collusion attacks. In order to tackle this challenge

In low-altitude economic logistics scenarios, trajectory planning for unmanned aerial vehicles (UAVs) can be treated as a typical traveling salesman problem (TSP). High-rise buildings in urban areas not only severely impact the flight safety of UAVs, but also increase their energy consumption when avoiding obstacles, thereby affecting their delivery ranges. To address these issues, this paper proposes

Digital twin (DT) provides a powerful framework to enable various intelligence applications in vehicular edge computing networks. DT servers are used to model and optimize the resource allocation of the whole dynamic system, to provide low latency services for the vehicles. However, the dynamic topology and varying network status make it a challenge to construct the DT model timely, especially in the