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On Energy Conservation for Fixed-Wing UAV Assisted Practical Full-Duplex Relaying with Service Requirement and Bank Angle Limit Veh. Commun. (IF 6.7) Pub Date : 2024-03-05 Xuan Zhu, Xiaodong Ji, Senyi Shi, Jian-Feng Gu
This paper studies a full-duplex (FD) amplify-and-forward relaying, where a fixed-wing unmanned aerial vehicle (UAV) is dispatched as a mobile relay to serve a source-destination communication pair so as to satisfy their service requirement. Here, the UAV relay flies in a circular path and hence it must continuously change its heading of flight which leads to a bank angle of the aircraft. In order
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Blockchain-based self-sovereign identity solution for aerial base station integrated networks Veh. Commun. (IF 6.7) Pub Date : 2024-03-01 Engin Zeydan, Josep Mangues-Bafalluy, Suayb Arslan, Yekta Turk
Identity and access management frameworks address user access rights and data governance for organizations, vendors and users. In response to the problems associated with centralized authorities (e.g. single point of failure, limited scalability, lack of user control), new identity management models have emerged, such as Self-Sovereign Identity (SSI), which relies on verifiable data registers to validate
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Stable matching with evolving preference for adaptive handover in cellular-connected UAV networks Veh. Commun. (IF 6.7) Pub Date : 2024-02-29 Wenlu Wang, Bowen Wang, Yanjing Sun
Unmanned Aerial Vehicles (UAVs) can effectively and reliably complete aerial tasks in various fields. However, the high-speed mobility of UAVs and the 6G ultra-dense heterogeneous network architecture in future will lead to frequent handover of UAVs during aerial tasks in cellular networks, increasing the potential service interruption rate. Therefore, there is an urgent requirement to address the
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Cluster stability-driven optimization for enhanced routing in heterogeneous vehicular networks Veh. Commun. (IF 6.7) Pub Date : 2024-02-28 Ali Jalooli, Alireza Marefat
The new era of the Internet of Things is promoting the evolution of self-driving vehicles into connected and autonomous vehicles (CAVs). The deployment of CAVs in smart cities is highly dependent on the performance of their underlying networks known as vehicular networks. Designing an effective clustering approach is of great importance in such dynamic networks as it can significantly improve the reliability
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Distributed and collaborative system to improve traffic conditions using fuzzy logic and V2X communications Veh. Commun. (IF 6.7) Pub Date : 2024-02-27 José Antonio Sánchez, David Melendi, Roberto García, Xabiel G Pañeda, Víctor Corcoba, Dan García
Nowadays, the increase in the number of vehicles on the roads has brought about several problems such as an increase in traffic congestion and, consequently, in polluting emissions. These problems are especially severe in urban environments. It is crucial to perform a sustainable urban mobility plan to improve the traffic and therefore, reduce the negative impacts caused by traffic jams. To this end
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A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic Veh. Commun. (IF 6.7) Pub Date : 2024-02-07 Memoona Sadaf, Zafar Iqbal, Zahid Anwar, Umara Noor, Mohammad Imran, Thippa Reddy Gadekallu
Every year, millions of people lose their lives due to road accidents, and countless others suffer from severe injuries. Moreover, these accidents cause economic losses worldwide. Primary reasons for these accidents include over speeding, doziness, distracted driving, drugs, and psychoactive substances. Many efforts are made to automate vehicles to save losses. Autonomous vehicles are expected to revolutionize
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Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions Veh. Commun. (IF 6.7) Pub Date : 2024-01-29 Vibha Bharilya, Neetesh Kumar
The significant contribution of human errors, accounting for approximately 94% (with a margin of ±2.2%), to road crashes leading to casualties, vehicle damages, and safety concerns necessitates the exploration of alternative approaches. Autonomous Vehicles (AVs) have emerged as a promising solution by replacing human drivers with advanced computer-aided decision-making systems. However, for AVs to
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Accident Reduction through a Privacy-preserving Method on Top of a Novel Ontology for Autonomous Vehicles with the Support of Modular Arithmetic Veh. Commun. (IF 6.7) Pub Date : 2024-01-26 Mehdi Gheisari, Aminreza Karamoozian, Jiechao Gao, Hemn Barzan Abdalla, Shuja Ansari, Riaz Khan, Zhaoxi Fang
Cloud of Things (CoT) emerges as a pivotal paradigm, connecting Internet of Things (IoT) devices to the Cloud Computing space, facilitating the efficient management of smart cities. In navigating the intricate landscape of smart city environments, this paper confronts two paramount challenges— heterogeneity and privacy preservation. Heterogeneity, rooted in the diverse origins of CoT devices from various
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Reconfigurable UAV-aided 3D sustainable surveillance in classified air-spaces Veh. Commun. (IF 6.7) Pub Date : 2024-01-22 Minsoo Kim, Jalel Ben-Othman, Hyunbum Kim
The recent advancement of smart UAVs (Unmanned Aerial Vehicles) allows its applicability to wide-range fields covering time-critical reports, emergent item delivery, virtual emotion services and so on. In particular, the surveillance can be supported by a fleet of smart UAVs in cooperation with various system components including sensors, mobile robots, autonomous vehicles and so on. Additionally,
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Analysis of a generalized multi-tag, multi-antenna ambient backscatter with mobile nodes: A physical layer security perspective Veh. Commun. (IF 6.7) Pub Date : 2024-01-26 Tushar S. Muratkar, Ankit Bhurane, Ashwin Kothari
Ambient backscatter communication (AmBC) has recently attracted a lot of attention as a solution for next-generation internet of things (IoT) applications due to its capability to interact with peer devices with extremely little power usage (in μW). Security being a major concern in IoT applications, we look at the AmBC system from a physical layer security standpoint. In this paper, we focus on a
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Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments Veh. Commun. (IF 6.7) Pub Date : 2024-01-24 Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh
In this paper, we consider a Software Defined Networking (SDN)/Network Function Virtualized (NFV) networked computing system, which is composed of a serving Rotary Wing (RW) Unmanned Aerial Vehicle (UAV), a Ground Controller Station (GCS) and a number of resource-limited (possibly, heterogeneous) Ground Users (GUs) that randomly move in environments affected by fading-induced probabilistic path-loss
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Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system Veh. Commun. (IF 6.7) Pub Date : 2024-01-23 Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din
The UAV (Unmanned Aerial Vehicles) is an automatic aircraft, widely used several applications like emergency management, wildlife conservation, forestry, aerial photography, etc. The communication among the UAV is susceptible to security threats with several diverse attacks. The data sharing among the UAV and other vehicles is vulnerable to jamming and suspicious activities that disturbs the communication
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An efficient privacy-preserving authentication scheme that mitigates TA dependency in VANETs Veh. Commun. (IF 6.7) Pub Date : 2024-01-19 Huadong Su, Shi Dong, Ning Wang, Ting Zhang
With the constant development of wireless communication technologies, the Vehicular Ad-hoc Networks (VANETs) will become an inevitable paradigm for intelligent transportation systems. Privacy-preserving and authentication security has been a core concern in VANETs, and pseudonym-based and group signature-based privacy-preserving authentication schemes have been widely proposed. However, most research
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A hybrid MGO-JAYA based clustered routing for FANETs Veh. Commun. (IF 6.7) Pub Date : 2024-01-19 Ahmed M. Khedr, Raj P.V. Pravija
In recent years, Flying Ad-hoc Networks (FANETs) have gained significant attention among researchers due to the widespread applications and increasing popularity of Unmanned Aerial Vehicles (UAVs). As technology advances and more research is undertaken, FANETs are expected to become a vital aspect of modern times, allowing for more effective and creative applications in different domains. However,
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Performance analysis of AUV-carried RISs-aided multihop UWOC convergent with RF MRC systems over WGG oceanic turbulence Veh. Commun. (IF 6.7) Pub Date : 2024-01-03 Binna Zhou, Ping Wang, Tian Cao, Ganggang Li, Shuang Li, Pengfei Yang
To establish reliable connection between Internet of Underwater Things (IoUT) devices and terrestrial data centers, this work first proposes a reconfigurable intelligent surface (RIS) aided multihop underwater wireless optical communication (UWOC) convergent with radio frequency (RF) uplink system. Specifically, the RIS carried by an autonomous underwater vehicle (AUV) is introduced into UWOC link
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Combining blockchain and crowd-sensing for location privacy protection in Internet of vehicles Veh. Commun. (IF 6.7) Pub Date : 2024-01-03 Zihao Shen, Fei Ren, Hui Wang, Peiqian Liu, Kun Liu, Jun Zhang
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Energy-efficient trajectory design for secure SWIPT systems assisted by UAV-IRS Veh. Commun. (IF 6.7) Pub Date : 2024-01-02 Li Zhao, Shaocheng Qu, Hongbo Xu, Ziming Wei, Chen Zhang
Due to its controllable maneuverability, wide coverage, and low cost, unmanned aerial vehicle (UAV) has great potential in post-disaster rescue, cargo transport and emergency communication. Considering its limited onboard energy, energy-efficient UAV communication is a challenge. This research examines the security of simultaneous wireless information and power transfer (SWIPT) systems assisted by
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Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks Veh. Commun. (IF 6.7) Pub Date : 2023-12-28 Yuan Li, Chao Yang, Xin Chen, Yi Liu
Intelligent assisted driving is an important application in vehicular edge computing networks (VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need to be coordinated to complete complex vehicular applications. A number of dependent, latency-sensitive, and computation-intensive tasks are generated. However, the existing works have given less consideration to the
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Elastic Gateway SoC design: A HW-centric architecture for inline In-Vehicle Network processing Veh. Commun. (IF 6.7) Pub Date : 2023-12-28 Angela González Mariño, Francesc Fons, Juan Manuel Moreno Arostegui
The concepts of future mobility such as autonomous, connected, electric and shared vehicles are bringing a huge revolution to the automotive sector. We are seeing technologies typical from data centers fully embedded into vehicles, shifting from a mechanical-centric product, to an electronics-centric one. All the sensors and actuators embedded in vehicles need to exchange data in real time, in a safe
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Narrow band of vehicular things communication system using hybrid pelican-beetle swarm optimization approach for intelligent transportation system Veh. Commun. (IF 6.7) Pub Date : 2023-12-27 M. Vinodhini, Sujatha Rajkumar
Congestion is caused by the continually expanding number of vehicles worldwide. Intelligent Transportation Systems (ITSs) could be used to build a system that efficiently uses the existing infrastructure and current technological advancements. Several Vehicular applications use the restricted vehicle battery in V2X systems, and a key concern is communication secrecy. Earlier research has focused on
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Sliding-mode control for heterogeneous vehicular platoons with unknown matched and mismatched disturbances under intermittent communications Veh. Commun. (IF 6.7) Pub Date : 2023-12-23 Hongbo Lei, Jian Sun, Ye Zeng, Lingxiao Yi, Fengling Wang
In this work, we investigate a longitudinal platooning control problem of heterogeneous vehicles with a focus on external unknown disturbances, parameter uncertainties and intermittent communications. When vehicle platooning encounter intermittent communications, the performance of the platooning will be degraded. Nevertheless, the existing researches can not deal with the aforementioned three issues
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Collaborative relay for achieving long-term and low-AoI data collection in UAV-aided IoT systems Veh. Commun. (IF 6.7) Pub Date : 2023-12-21 Xiuwen Fu, Xiong Huang, Qiongshan Pan
In Internet of Things (IoT) systems, sensor nodes are frequently placed in remote and unattended locations to monitor environmental data. One significant challenge is ensuring the timely and efficient transmission of data generated by these sensor nodes back to the base station. The use of unmanned aerial vehicles (UAVs) can provide a practical solution to this challenge by acting as mobile relay nodes
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Anonymous and linkable ring signcryption scheme for location-based services in VANETs Veh. Commun. (IF 6.7) Pub Date : 2023-12-14 Vijay Kumar Yadav
In Location-Based Service (LBS), the vehicle user sends query messages, such as the nearest health centre, restaurant, etc., to the service provider for efficient and accurate service. The service provider gathers data regarding the received query, takes the service charge from the vehicle user, and provides these services efficiently and accurately. The service provider may reveal the vehicle user's
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Traffic prediction assisted wavelength allocation in vehicle-to-infrastructure communication: A fiber-wireless network based framework Veh. Commun. (IF 6.7) Pub Date : 2023-12-18 Akshita Gupta, Abhishek Pratap Singh, Arunima Srivastava, Vivek Ashok Bohara, Anand Srivastava, Martin Maier
The advent of the next generation of connected and autonomous cars offers immense opportunities for both users as well as service providers. In particular, fiber-wireless (FiWi) based vehicle-to-infrastructure (V2I) network can facilitate some of the stringent requirements of sixth-generation (6G) vehicular networks, including higher capacity, lower delay, and ubiquitous connectivity. FiWi based V2I
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Resource management for sum-rate maximization in SCMA-assisted UAV system Veh. Commun. (IF 6.7) Pub Date : 2023-12-15 Saumya Chaturvedi, Vivek Ashok Bohara, Zilong Liu, Anand Srivastava, Pei Xiao
This work presents a resource management framework for optimizing the sum-rate in a sparse code multiple access (SCMA)-assisted UAV downlink system. We formulate two optimization problems for maximizing the overall sum-rate: the first problem addresses UAV 3D deployment and trajectory optimization with energy constraints, while the second focuses on optimizing SCMA subcarrier and power allocation optimization
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An adjusted propagation model for ITS-G5 communications for improving the location of RSUs in real V2I deployments Veh. Commun. (IF 6.7) Pub Date : 2023-12-13 Nagore Iturbe-Olleta, Jon Bilbao, Olatz Iparraguirre, Jaizki Mendizabal, Alfonso Brazalez
The future of mobility is cooperative, connected, and autonomous leading to new technological challenges in the development of Cooperative Intelligent Transport Systems (C-ITS). Therefore, Vehicle to Everything (V2X) and, more specifically, Vehicle to Infrastructure (V2I) deployments are key to enabling these features around the highways as well as along the cities. The communication range of the RoadSide
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Secrecy performance evaluation and enhancement of vehicle-to-vehicle communications in the presence of big vehicles Veh. Commun. (IF 6.7) Pub Date : 2023-12-12 Mohamed G. Abd El Ghafour, Ahmed H. Abd El-Malek, Ola E. Hassan, Mohammed Abo-Zahhad
Despite its significant role in providing and developing reliable and safe intelligent transportation services, the Internet of Vehicles faces several challenges and security threats, such as co-channel interference (CCI), node self-interference (SI), and eavesdropping. This paper investigates the secrecy performance of vehicular networks in terms of their secrecy outage probability (SOP) and average
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Performance analysis of IEEE 802.11p preamble insertion in C-V2X sidelink signals for co-channel coexistence Veh. Commun. (IF 6.7) Pub Date : 2023-12-04 Alessandro Bazzi, Stefania Bartoletti, Alberto Zanella, Vincent Martinez
Spectrum scarcity is one of the main challenges of future wireless technologies. When looking at vehicle-to-everything (V2X), this is amplified as spectrum sharing could impact road safety and traffic efficiency. It is therefore of particular importance to study solutions that allow the coexistence, in the same geographical area and in the same channels, of what are today the main V2X access technologies
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Measurement-based fading characteristics analysis and modeling of UAV to vehicles channel Veh. Commun. (IF 6.7) Pub Date : 2023-12-04 Yue Lyu, Wei Wang, Yuzhe Sun, Ibrahim Rashdan
With the rapid development of unmanned aerial vehicle (UAV) and autonomous driving technology, wireless communication between UAV and vehicles has become one of the hotspots in the research of intelligent transportation systems (ITS). Particularly, link-level UAV-based communication requires correlation characteristics of propagation channel. In the current channel measurement, the transmitter or receiver
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Multiple attributes based physical layer authentication through propagation scenario identification in the internet of vehicles Veh. Commun. (IF 6.7) Pub Date : 2023-12-04 Mubarak Umar, Jiandong Wang, Hafsa Kabir Ahmad, Shuangrui Zhao, Feng Li, Shuguang Wang, Minggang Zheng, Yulong Shen, Zhiwei Zhang, Xin Guo
The Internet of Vehicles (IoV) systems improve road safety through coordination among vehicles, but they are vulnerable to impersonation attack due to their broadcast communication nature. Existing cryptographic authentication approaches are complex for resource-limited IoV devices, which motivated the development of less complex Physical Layer Authentication (PLA) approaches. However, the existing
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An analytical approach to the estimation of vehicular communication reliability for intersection control applications Veh. Commun. (IF 6.7) Pub Date : 2023-11-28 Tibor Petrov, Ilya Finkelberg, Peter Počta, Ľuboš Buzna, Nina Zarkhin, Ayelet Gal-Tzur, Tomer Toledo
Connected and automated vehicles bring the capability to generate traffic data for intersection control applications. Unfortunately, for various reasons, such as signal blocking and interference, vehicles may experience communication failures leading to inefficiencies, e.g., unnecessarily long waiting queues, increased noise and greenhouse gas emissions or increased delays of emergency vehicles at
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Network slice allocation for 5G V2X networks: A case study from framework to implementation and performance assessment Veh. Commun. (IF 6.7) Pub Date : 2023-11-27 Ciprian Zamfirescu, Radu Iugulescu, Răzvan Crăciunescu, Alexandru Vulpe, Frank Y. Li, Simona Halunga
Empowered by the capabilities provided by fifth generation (5G) mobile communication systems, vehicle-to-everything (V2X) communication is heading from concept to reality. Given the nature of high-mobility and high-density for vehicle transportation, how to satisfy the stringent and divergent requirements for V2X communications such as ultra-low latency and ultra-high reliable connectivity appears
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A state-of-the-art on federated learning for vehicular communications Veh. Commun. (IF 6.7) Pub Date : 2023-12-02 Drissi Maroua
With the increasing number of connected vehicles on the road, vehicular communications have become an important research area. Federated learning (FL), a distributed machine learning technique that enables learning from distributed data sources while preserving data privacy and efficient learning, has the advantages of privacy preservation, low latency, and energy efficiency, making it a suitable technique
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Channel-Independent Quantum Mapping-Substitution OFDM-Based Spatial Modulation for Physical-Layer Encryption in VLC Networks Veh. Commun. (IF 6.7) Pub Date : 2023-11-30 Yahya M. Al-Moliki, Mohammed T. Alresheedi, Yahya Al-Harthi, Ali H. Alqahtani
Physical-layer encryption has lately been highlighted as a promising security approach for visible light communications (VLC). Orthogonal frequency-division multiplexing (OFDM) is the main structural entity of multiple-carrier modulation in most modern communication systems, including vehicle ad hoc networks, 5G systems, and the Internet of Things. The integration of OFDM and spatial modulation (SM)
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Performance analysis of RIS-assisted V2V communication under multipath interference Veh. Commun. (IF 6.7) Pub Date : 2023-11-28 Baofeng Ji, Saibing Wang, Gaoyuan Zhang, Jianghui Liu, Shahid Mumtaz
Reconfigurable Intelligent Surface (RIS) enables precise modulation and directional transmission of signals by controlling the phase and amplitude of electromagnetic waves, thus solving the problems of signal fading, multipath effects, and interference faced by conventional wireless communication systems. In this paper, the RIS-assisted vehicle-to-vehicle (V2V) communication system under multipath
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An intelligent path management in heterogeneous vehicular networks Veh. Commun. (IF 6.7) Pub Date : 2023-11-20 Vadym S. Hapanchak, António Costa, João Pereira, Maria João Nicolau
Achieving reliable connectivity in heterogeneous vehicular networks is a challenging task, owing to rapid topological changes and unpredictable vehicle speeds. As vehicular communication demands continue to evolve, multipath connectivity is emerging as an important tool, which promises to enhance network interoperability and reliability. Given the limited coverage area of serving access technologies
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Design and measurement of a thirty-two-port MIMO/diversity antenna based on radiator-ground isomorphic inverse approach for intelligent vehicular internet of things communications Veh. Commun. (IF 6.7) Pub Date : 2023-11-24 Lekha Kannappan, Sandeep Kumar Palaniswamy, Malathi Kanagasabai, Sachin Kumar, Jayaram Kizhekke Pakkathillam, Deepak Gangwar
The increased demand for automobile applications and connected-vehicles in the market has prompted much research into intelligent automotive antennas. Connected-vehicles are being used to change automotive technology and serve as a framework for a smart society. This paper presents a thirty-two-port hex‑polarized massive multiple-input-multiple-output (MIMO) antenna that operates at GPS, Wi-Fi, and
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Federated learning for resource allocation in vehicular edge computing-enabled moving small cell networks Veh. Commun. (IF 6.7) Pub Date : 2023-11-24 Saniya Zafar, Sobia Jangsher, Adnan Zafar
Moving networks comprising of moving small cells (MoSCs) is an emerging technology that provide ubiquitous connectivity to the cellular users in vehicular environment. MoSCs are the small cells deployed on the top of vehicles (city buses, trains, trams etc.) to support the vehicular users with improved quality-of-service (QoS). However, the deployment of small cells in vehicular environment demands
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Creating small ad hoc networks: Swift presence notification strategies Veh. Commun. (IF 6.7) Pub Date : 2023-11-23 Jacek Cichoń, Mirosław Kutyłowski, Patryk Stopyra
We consider the problem of k agents using a communication channel restricted to n transmission slots. Each agent aims to broadcast its message repetitively so that at least one copy of it avoids collision, where the agent cannot observe channel status, and there is no a priori information about other agents except their approximate number. Motivated by time-sensitive vehicle coordination use cases
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Energy Minimization for In-Band Full-Duplex Relaying Using an Amplify-and-Forward UAV Relay Veh. Commun. (IF 6.7) Pub Date : 2023-11-21 Xiaodong Ji, Tao Wang, Senyi Shi, Jian-Feng Gu
This paper investigates an in-band full-duplex (IBFD) relaying, where a fixed-wing unmanned aerial vehicle (UAV) is dispatched as an amplify-and-forward relay to forward data from a source to a destination. By considering ideal and practical IBFD cases, new received signal-to-noise ratio (SNR) expressions at the destination are derived. Armed with the newly derived SNR expressions and the existing
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Performance analysis of cooperative multi-relay spatial modulation based OTFS system in V2V communication Veh. Commun. (IF 6.7) Pub Date : 2023-11-14 Yingchao Yang, Zhiquan Bai, Ke Pang, Hongwu Liu, Peng Gong, Yuxiong Ji, Lei Zhang
Owing to the characteristics of spatial modulation (SM) and orthogonal time frequency space (OTFS) modulation, SM based OTFS (SM-OTFS) system has an excellent capability to improve the effectiveness and reliability of vehicle-to-vehicle (V2V) communication. To further combat the severe shadow effect, improve the system performance, and extend the transmission range of V2V communication in the urban
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A novel coalition game based distributed cooperative content caching in mobile edge networks Veh. Commun. (IF 6.7) Pub Date : 2023-11-10 Jie Lin, Siqi Huang, Hanlin Zhang, Xinyu Yang, Peng Zhao
In mobile edge networks with mobile vehicles, road-side units (RSUs) can be used as edge nodes to cache some popular contents for moving vehicles in advance, and therefore improving the transmission efficiency and quality of user experience during vehicle-to-infrastructure (V2I) content communication. Transferring large files to a fast-moving car is a challenging task because of the limited communication
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Development of quantum-enhanced authenticated key agreement protocol for autonomous vehicles Veh. Commun. (IF 6.7) Pub Date : 2023-11-09 Dheerendra Mishra, Komal Pursharthi, Purva Rewal
Autonomous vehicle (AV) technology for self-driving has emerged as a promising solution to alleviate traffic congestion, reduce accidents, and optimize road capacity and fuel consumption. However, these sensors are vulnerable, making AVs susceptible to cyber threats. Consequently, security becomes an indispensable and integral facet of AV architecture. One such challenge is establishing a secure session
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A metaheuristic MAC protocol for safety applications in cognitive vehicular networks Veh. Commun. (IF 6.7) Pub Date : 2023-11-04 Jahnvi Tiwari, Arun Prakash, Rajeev Tripathi
In a dynamic cognitive vehicular network (CVN) environment, ensuring reliable data delivery of safety messages (sm) is crucial. However, fast-moving vehicles and rapidly changing channel accessibility make sm broadcasting challenging. To address this issue, we propose a cooperative make-up technique, which leverages the 2-Hop Harris Hawks Optimization (HHO) algorithm to choose an optimal helper for
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Agile gravitational search algorithm for cyber-physical path-loss modelling in 5G connected autonomous vehicular network Veh. Commun. (IF 6.7) Pub Date : 2023-10-22 Kennedy Chinedu Okafor, Bamidele Adebisi, Akinyinka Olukunle Akande, Kelvin Anoh
Based on the characteristics of the 5 G standard defined in Release 17 by 3GPP and that of the emerging Beyond 5 G (or the so-called 6 G) network, cyber-physical systems (CPSs) used in smart transport network infrastructures, such as connected autonomous vehicles (CAV), will significantly depend on the cellular networks. The 5 G and Beyond 5 G (or 6 G) will operate over millimetre-wave (mmWave) bands
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Towards load balancing in IoV system: A vehicle-assisted batch verification scheme Veh. Commun. (IF 6.7) Pub Date : 2023-10-18 Yang Yang, Haiyang Yu, Yanan Zhao, Han Jiang, Yilong Ren
The Internet of Vehicles (IoV) can improve the efficiency of transportation systems while enhancing the passenger travel experience. However, due to the open wireless communication environment of the IoV, the transmission of data faces the threats of eavesdropping, forging and tampering. Fortunately, the concept of Vehicle-assisted Message Verification Schemes (VMS) are proposed which not only ensures
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A Measurement Scheduling Method for Multi-vehicle Cooperative Localization Considering State Correlation Veh. Commun. (IF 6.7) Pub Date : 2023-10-11 Haigen Min, Yao Li, Xia Wu, Wuqi Wang, Lisha Chen, Xiangmo Zhao
Accurate and robust localization is a fundamental requirement for safe autonomous driving. Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation satellite system (GNSS) for obtaining the position data. However, in urban canyons or areas with signal interruptions, the GNSS signals may be unreliable, thus leading to accumulated errors in SVL. In contrast, cooperative
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ADFPA – A Deep Reinforcement Learning-based Flow Priority Allocation Scheme for Throughput Optimization in FANETs Veh. Commun. (IF 6.7) Pub Date : 2023-10-11 Wei Jian Lau, Joanne Mun-Yee Lim, Chun Yong Chong, Nee Shen Ho, Thomas Wei Min Ooi
Flying ad hoc networks (FANETs) are easy to deploy and cost-efficient, however they are limited by the static protocols used in 802.11 and CSMA-based networks to support high bandwidth multi-UAV applications. This work proposes an Anticipatory Dynamic Flow Priority Allocation (ADFPA) scheme to optimize the priority levels of outgoing traffic flows for a transmitting node to maximize the total network
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A secure and lightweight batch authentication scheme for Internet of Drones environment Veh. Commun. (IF 6.7) Pub Date : 2023-10-05 Yuanyuan Zhang, Lingzhe Meng, Mingwu Zhang, Weizhi Meng
Internet of Drones (IoD) ushered in a rapid growth period and is gradually expanded from military field to civilian field. Currently, there are more and more scenarios where multiple drones are needed to complete a task together. Usually, identity authentication is required to ensure the execution of the task. The existing authentication schemes are basically aimed at the authentication of a single
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Adaptive on-ramp merging strategy under imperfect communication performance Veh. Commun. (IF 6.7) Pub Date : 2023-10-02 Xiaolu Tong, Yan Shi, Qingyuan Zhang, Shanzhi Chen
On-ramp merging is one of the important V2X (Vehicle-to-Everything) applications and is critical for both driving safety and traffic efficiency. The ramp vehicle needs to get information about the surrounding vehicles through V2X communications, and calculate the control strategy. But the communication performance issues of connected autonomous vehicles, such as communication delay and packet loss
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Security frameworks without the third-party infrastructure in VANETs with detailed security strength and overhead analyses Veh. Commun. (IF 6.7) Pub Date : 2023-09-27 Huei-Wen Ferng, Ya-Chen Tsai, Mingfu Li, Jiann-Jone Chen, Der-Feng Tseng
Two cluster-based security frameworks without a third-party infrastructure in VANETs are proposed and analyzed in this paper. Utilizing some concepts of PCREF [1] with suitable modification reaches our first proposed framework for serving as a benchmark. By further associating trust values with vehicles and taking key updates into account based on the first proposed framework, our second proposed framework
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Reliability optimization in IRS-assisted UAV networks Veh. Commun. (IF 6.7) Pub Date : 2023-09-25 Haiying Peng, Yufeng Zheng, Peng He, Yaping Cui, Ruyan Wang, Dapeng Wu
Unmanned aerial vehicles (UAVs) and intelligent reflecting surfaces (IRSs) are regarded as critical technologies which need to be developed for the sixth-generation mobile network (6G). In this paper, we study the reliability of the IRS-assisted Unmanned aerial vehicles (UAV) communication system with limited UAV energy in complex urban scenarios. We present the problem by joint optimization of the
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Maximizing VANET performance in cluster head selection using Intelligent Fuzzy Bald Eagle optimization Veh. Commun. (IF 6.7) Pub Date : 2023-09-20 Maria Christina Blessy A, Brindha S
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Cellular localizability of unmanned aerial vehicles Veh. Commun. (IF 6.7) Pub Date : 2023-09-20 Irshad A. Meer, Mustafa Ozger, Cicek Cavdar
To enable pervasive applications of cellular-connected unmanned aerial vehicles (UAVs), localization plays a key role. The successful reception of localization signals from multiple base stations (BSs) is the first step to localize targets, which is called cellular localizability. In this paper, we propose an analytical framework to characterize the B-localizability of UAVs, which is defined as the
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The importance of V2X simulation: An in-depth comparison of intersection control algorithms using a high-fidelity communication simulation Veh. Commun. (IF 6.7) Pub Date : 2023-09-15 Tamás Ormándi, Balázs Varga
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A Novel Fuzzy Trust-based Secure Routing Scheme in Flying Ad Hoc Networks Veh. Commun. (IF 6.7) Pub Date : 2023-09-06 Mehdi Hosseinzadeh, Adil Hussein Mohammed, Farhan A. Alenizi, Mazhar Hussain Malik, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, Omed Hassan Ahmed, Amir Masoud Rahmani, Lilia Tightiz
Today, many studies assess vulnerabilities, threats, and attacks in flying ad hoc networks (FANETs) to provide solutions for countermeasures. Protecting FANETs against attackers and coordinating connections are challenging. The purpose of this study is to increase and maintain communication security. In this paper, a fuzzy trust-based secure routing scheme (FTSR) is presented in FANETs. FTSR utilizes
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Fast move: A prioritized vehicle rerouting strategy in smart city Veh. Commun. (IF 6.7) Pub Date : 2023-09-01 Pratik Dutta, Sunirmal Khatua, Sankhayan Choudhury
Efficient and dynamic traffic management is an integral part of any smart city. Finding the shortest route considering congestion in real-time and managing traffic signals determine the efficiency of overall traffic flow. Route planning within a dynamic traffic environment remains an open challenge due to some essential unaddressed issues. Specially, considering priority vehicles to provide better
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Integrated sensing and communication waveform design in the Internet of Vehicles Veh. Commun. (IF 6.7) Pub Date : 2023-08-22 Zhuo Li, Zhonggui Ma, Yanpeng Liang
We design an integrated sensing and communication (ISAC) transmission waveform with total transmission power, waveform similarity, and peak-to-average power ratio (PAPR) constraints in the Internet of Vehicles (IoV). The integrated waveform can complete radar target detection while communicating with downlink cellular users. The design of IoV with ISAC can not only improve the spectrum efficiency,
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A comprehensive survey on SDN and blockchain-based secure vehicular networks Veh. Commun. (IF 6.7) Pub Date : 2023-08-22 Indukuri Mani Varma, Neetesh Kumar
Internet of Vehicles (IoV), as an emerging technology, has gained much attention in recent years due to rapid advancements in computing paradigms, vehicular and wireless technologies. IoV integrates vehicles with the internet using a computing paradigm and enables vehicle-to-everything (V2X) communication. However, the increase in density and the highly dynamic nature of vehicles have led to exponential