Vehicular Communications最新文献

Computational intelligence-based routing schemes in flying ad-hoc networks (FANETs): A review

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-24 DOI: 10.1016/j.vehcom.2025.100913

Parisa Khoshvaght , Jawad Tanveer , Amir Masoud Rahmani , May Altulyan , Yazeed Alkhrijah , Mohammad Sadegh Yousefpoor , Efat Yousefpoor , Mokhtar Mohammadi , Mehdi Hosseinzadeh

{"title":"Computational intelligence-based routing schemes in flying ad-hoc networks (FANETs): A review","authors":"Parisa Khoshvaght , Jawad Tanveer , Amir Masoud Rahmani , May Altulyan , Yazeed Alkhrijah , Mohammad Sadegh Yousefpoor , Efat Yousefpoor , Mokhtar Mohammadi , Mehdi Hosseinzadeh","doi":"10.1016/j.vehcom.2025.100913","DOIUrl":"10.1016/j.vehcom.2025.100913","url":null,"abstract":"<div><div>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 network topology. These features challenge the design of a proper routing protocol in FANETs. Today, computational intelligence (CI) techniques are rapidly developing as a mighty and intelligent computing model. This promising technology can be used to improve various applied areas, especially routing in FANETs. This paper examines and assesses various CI-based routing techniques in FANETs. Accordingly, this paper introduces a classification of CI-based routing protocols for FANETs. This categorization includes three groups: learning system-based routing methods (including artificial neural networks, reinforcement learning, and deep reinforcement learning), fuzzy-based routing schemes, and bio-inspired routing schemes (evolutionary algorithms and swarm intelligence). Subsequently, based on the offered classification, the most recent CI-based routing methods and their key features are outlined. Ultimately, the opportunities and challenges in this area have been mentioned to help researchers familiarize themselves with future research directions in CI-based routing algorithms for FANETs and work toward improving these methods in such networks.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100913"},"PeriodicalIF":5.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling, optimisation and evaluation of multi-transmitters FSO link for ground to train communication

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-20 DOI: 10.1016/j.vehcom.2025.100914

Mohammed A. Alhartomi , M.F.L. Abdullah , Wafi A.B. Mabrouk , Ahmed Alzahmi , Saeed Alzahrani

{"title":"Modelling, optimisation and evaluation of multi-transmitters FSO link for ground to train communication","authors":"Mohammed A. Alhartomi , M.F.L. Abdullah , Wafi A.B. Mabrouk , Ahmed Alzahmi , Saeed Alzahrani","doi":"10.1016/j.vehcom.2025.100914","DOIUrl":"10.1016/j.vehcom.2025.100914","url":null,"abstract":"<div><div>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, and quad) and considering different weather conditions (clear, rain, and fog) using NRZ-OOK modulation. The models were evaluated based on key performance metrics, including received power, signal-to-noise ratio (SNR), bit error rate (BER), and eye diagrams. Simulation results reveal that single and dual transmitter links are significantly impacted by geometrical and atmospheric losses, while triple and quad transmitters provide error-free G2T-FSO links with a BER of 10<sup>-9</sup>. Under clear weather conditions, communication ranges of up to 680 meters for straight tracks and 618 meters for curved tracks were achieved. These findings highlight that G2T-FSO links deliver superior performance compared to traditional HST communication technologies, offering enhanced range, reliability, and data capacity for high-speed, secure train communication systems.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100914"},"PeriodicalIF":5.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An efficient resource orchestration algorithm for enhancing throughput in fog computing-enabled vehicular networks

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-13 DOI: 10.1016/j.vehcom.2025.100911

Md Asif Thanedar , Sanjaya Kumar Panda

{"title":"An efficient resource orchestration algorithm for enhancing throughput in fog computing-enabled vehicular networks","authors":"Md Asif Thanedar , Sanjaya Kumar Panda","doi":"10.1016/j.vehcom.2025.100911","DOIUrl":"10.1016/j.vehcom.2025.100911","url":null,"abstract":"<div><div>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 on-demand services. These FNs possess finite resources and can provide services to limited vehicles. However, when vehicles reach the network spike in demand, the FNs become impuissant in furnishing services in the existing solutions. As a result, there is a significant reduction in the network throughput. Therefore, we propose an efficient resource orchestration (ERO) algorithm to maximize the throughput by reducing the allocated resource blocks (RBs) of FNs. The ERO algorithm partitions the FN coverage region into restricted and non-restricted coverage regions. Then, it coordinates the RBs allocation among FNs by reducing RBs for the vehicles in the non-restricted coverage regions. This reduction is carried out by migrating RBs for offloading upstream services so that the overall occupied capacity of FNs is minimized. ERO constructs the minimum priority queue using the occupied capacity of FNs to perform optimal RBs migration between pairs of FNs. The ERO algorithm is evaluated, and simulation results show that the proposed algorithm performs better in terms of throughput, serviceability, availability, and service capability than existing algorithms.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100911"},"PeriodicalIF":5.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effective throughput maximization of beamspace MIMO-NOMA with finite blocklength

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-13 DOI: 10.1016/j.vehcom.2025.100908

Yiyang Zhang , Yuan Yin , Jiaheng Wang , Kang Zheng

{"title":"Effective throughput maximization of beamspace MIMO-NOMA with finite blocklength","authors":"Yiyang Zhang , Yuan Yin , Jiaheng Wang , Kang Zheng","doi":"10.1016/j.vehcom.2025.100908","DOIUrl":"10.1016/j.vehcom.2025.100908","url":null,"abstract":"<div><div>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 the transmission rate and error performance in the finite blocklength regime. For the considered downlink beamspace MIMO-NOMA system, we derive the expression of system effective throughput with given blocklength and decoding error probability. To maximize the system effective throughput and simultaneously provide the quality-of-service (QoS) guarantee of data rate for each user, the transmit precoding and power allocation are optimized. We first provide an effective precoding design to mitigate the inter-beam interference. For power allocation, we apply monotonic optimization to obtain a globally optimal solution, and further develop a low-complexity algorithm based on the principles of convex-concave procedure (CCP). Simulation results show that the proposed schemes achieve higher spectrum and energy efficiency compared to several baseline schemes, including the traditional resource allocation algorithm based on the infinite blocklength assumption, and the existing beamspace MIMO.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100908"},"PeriodicalIF":5.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secure energy efficiency maximization for mobile jammer-aided UAV communication: Joint power and trajectory optimization

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-13 DOI: 10.1016/j.vehcom.2025.100910

Jiazheng Lv, Jianhua Cheng, Peng Li, Runze Bai

{"title":"Secure energy efficiency maximization for mobile jammer-aided UAV communication: Joint power and trajectory optimization","authors":"Jiazheng Lv, Jianhua Cheng, Peng Li, Runze Bai","doi":"10.1016/j.vehcom.2025.100910","DOIUrl":"10.1016/j.vehcom.2025.100910","url":null,"abstract":"<div><div>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 is to maximize the SEE via jointly optimizing power and UAVs' trajectories. The formulated problem is non-convex and subject to information-causality constraints, power constraints, and mobility constraints, which cannot be solved directly by convex optimization tools. To solve the problem, the block coordinate descent method is applied to decouple the original problem into four sub-problems. Then, an efficient iterative algorithm is proposed to address the non-convex problem through the successive convex approximation technique. Additionally, Dinkelbach's algorithm is employed to handle the fractional programming problem, thereby obtaining an approximate solution with guaranteed convergence. Different schemes are evaluated to validate the effectiveness of the proposed design. The simulation results show that the proposed design can improve SEE effectively compared with other schemes.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100910"},"PeriodicalIF":5.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D position error bound for wideband localization systems with application to UAVs

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-13 DOI: 10.1016/j.vehcom.2025.100909

Alberto Facheris, Luca Reggiani

引用次数: 0

A cooperative caching scheme utilizing regional feature and dynamic vehicle clustering in vehicular edge networks

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-13 DOI: 10.1016/j.vehcom.2025.100912

Yujian Chen, Weidi Tian, Zhengle Li, Hui Song

{"title":"A cooperative caching scheme utilizing regional feature and dynamic vehicle clustering in vehicular edge networks","authors":"Yujian Chen, Weidi Tian, Zhengle Li, Hui Song","doi":"10.1016/j.vehcom.2025.100912","DOIUrl":"10.1016/j.vehcom.2025.100912","url":null,"abstract":"<div><div>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 popularity and regional feature is much lower than that of network topology and channel changes affected by vehicle mobility. To address this, we establish a double time-scale model. On the larger time-scale, we consider changes in content popularity and regional feature. On the smaller time-scale, we use the Prediction by Partial Matching (PPM) algorithm to predict vehicle's position. Additionally, we implement a dynamic cluster management approach, where vehicles with similar paths are grouped together, and use a consistent hashing algorithm to distribute contents among cooperative nodes. Finally, we employ deep reinforcement learning (DRL) approach to optimize our cooperative caching strategy for achieving lower content delivery latency. Simulation experiments demonstrate that our CRFDC scheme outperforms other cooperative caching schemes and benchmark algorithms in terms of reducing content transmission delay, improving cache hit ratio and decreasing communication overhead.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100912"},"PeriodicalIF":5.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A vehicular network multipath management algorithm based on vehicular traffic

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-07 DOI: 10.1016/j.vehcom.2025.100906

Changxin Liu, Yu Qiu, Min Chen, Yantao Cai

{"title":"A vehicular network multipath management algorithm based on vehicular traffic","authors":"Changxin Liu, Yu Qiu, Min Chen, Yantao Cai","doi":"10.1016/j.vehcom.2025.100906","DOIUrl":"10.1016/j.vehcom.2025.100906","url":null,"abstract":"<div><div>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 Control Protocol (MPTCP) in IoV to improve its performance. However, researchers ignore the factors that influence it, such as user preferences, business characteristics, and actual needs, when constructing the transmission algorithm of IoV. In order to solve the above problems, this paper proposes a vehicular Network path management algorithm based on vehicular traffic, which includes two algorithms: the vehicular Network path management algorithm based on path characteristics and signal characteristics (PCSC) and the vehicular Network path management algorithm based on path characteristics and traffic service (PCTS). To verify the performance of the proposed algorithm, we designed a simulation experiment of vehicle movement in Mininet-WiFi software. The results show that the PCSC algorithm has higher path selection flexibility than the traditional MPTCP algorithm and the existing path transmission algorithms. The performance of the PCTS algorithm is more precise than the PCSC algorithm, which improves the efficiency and throughput of the network and solves the communication needs of users in different periods.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100906"},"PeriodicalIF":5.8,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint subcarrier assignment and power allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks 无人机辅助空地一体化全双工 OFDMA 网络的联合子载波分配和功率分配

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-07 DOI: 10.1016/j.vehcom.2025.100907

Tong Wang

{"title":"Joint subcarrier assignment and power allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks","authors":"Tong Wang","doi":"10.1016/j.vehcom.2025.100907","DOIUrl":"10.1016/j.vehcom.2025.100907","url":null,"abstract":"<div><div>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 the joint optimization of subcarrier scheduling and power assignment, a task complicated by nonconvex Quality of Service (QoS) constraints, the nonconvex nature of the objective function, and the combinatorial intricacies of subcarrier scheduling. To overcome these difficulties, we first propose a Time-Sharing Greedy Rounding algorithm (TS-GR) based on the alternating optimization (AO) method. To further enhance the solution quality, we also propose an <span><math><msub><mrow><mi>l</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-norm regularization-based algorithm (LP-NR). Extensive simulation results and theoretical analyses confirm the convergence and efficiency of our proposed methods in UAV-assisted full-duplex OFDMA networks. The simulations highlight that while TS-GR can achieve higher rates under relaxed QoS requirements, LP-NR offers robust performance by consistently satisfying both uplink and downlink QoS requirements. Our findings demonstrate that the gains of multi-cell full-duplex wireless networks over their half-duplex counterparts are significant under optimal conditions but can be constrained by high self-interference and noise levels.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100907"},"PeriodicalIF":5.8,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent and efficient Metaverse rendering and caching in UAV-aided vehicular edge computing

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-03-06 DOI: 10.1016/j.vehcom.2025.100904

Linlin Yuan , Guoquan Wu , Kebing Jin , Ya Li , Jianhang Tang , Shaobo Li

{"title":"Intelligent and efficient Metaverse rendering and caching in UAV-aided vehicular edge computing","authors":"Linlin Yuan , Guoquan Wu , Kebing Jin , Ya Li , Jianhang Tang , Shaobo Li","doi":"10.1016/j.vehcom.2025.100904","DOIUrl":"10.1016/j.vehcom.2025.100904","url":null,"abstract":"<div><div>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, the actual wireless communication environment of UAV-assisted IoV networks, characterized by variability and complexity amidst numerous uncertain and uncontrollable interference factors, underscores the urgent need for research on the efficient communication and computing within the Metaverse. In this work, we investigate an efficient rendering scheme for Metaverse applications in UAV-aided edge computing networks, where multiple UAVs perform various Metaverse applications for vehicles with the help of a ground base station. Considering image quality and frame refresh rate as key metrics, we formulate a joint system utility optimization problem to minimize response time and energy consumption. To provide stable and high-quality vehicular Metaverse services, we develop an intelligent rendering and caching method for intelligent vehicular Metaverse, where a diffusion probabilistic model-based Metaverse frame rendering algorithm and a deep learning-based Metaverse frame caching algorithm are jointly designed. The proposed method can achieve optimal resource allocation results with low time complexity by fully exploring the benefits of a double auction model between vehicles and UAVs and a social model between different vehicles. Based on real-world datasets, we conduct extensive simulation experiments. Numerical results indicate that the proposed algorithm can improve resource utilization and reduce Metaverse frame rendering time and system energy consumption significantly.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100904"},"PeriodicalIF":5.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0