Vehicular Communications最新文献_第7页

Multi-objective resource allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks 无人机辅助地空一体化全双工OFDMA网络的多目标资源分配

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-10-01 Epub Date: 2025-07-02 DOI: 10.1016/j.vehcom.2025.100951

Tong Wang

{"title":"Multi-objective resource allocation for UAV-assisted air-ground integrated full-duplex OFDMA networks","authors":"Tong Wang","doi":"10.1016/j.vehcom.2025.100951","DOIUrl":"10.1016/j.vehcom.2025.100951","url":null,"abstract":"<div><div>In multi-UAV-assisted air-ground integrated in-band full-duplex (IBFD) OFDMA networks, both uplink and downlink performances are critical and must be simultaneously considered. This study addresses effective resource allocation in such networks to maximize the total system uplink and downlink rates by jointly optimizing subcarrier assignment and power control. Given the significant trade-off between uplink and downlink transmissions owing to self-interference in IBFD systems and intercell interference, we formulate the resource allocation problem as a multi-objective optimization problem (MOOP), aiming to jointly maximize the uplink and downlink performances. To achieve Pareto optimal solutions, we employ the weighted Tchebycheff technique to transform the MOOP into a single-objective optimization problem (SOOP) and solve it using Successive Convex Approximation (SCA) within a Block Coordinate Descent (BCD) framework. This approach iteratively optimizes the subcarrier assignment and power control and effectively manages the trade-offs between uplink and downlink rates. The proposed method demonstrates the ability to achieve an efficient balance in resource allocation. Simulation results show that our method can obtain Pareto optimal solutions, demonstrating favorable performance trade-offs and fairness under various interference conditions, thereby improving the overall system performance in multi-UAV-assisted air-ground integrated OFDMA networks.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"55 ","pages":"Article 100951"},"PeriodicalIF":5.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534422","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

Deep reinforcement learning based migration and execution decisions for multi-hop task offloading in mobile vehicle edge computing 基于深度强化学习的移动车辆多跳任务卸载迁移与执行决策

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-10-01 Epub Date: 2025-07-02 DOI: 10.1016/j.vehcom.2025.100950

Wenjie Zhou, Tian Zhang, Zekun Lu, Linbo Zhai

{"title":"Deep reinforcement learning based migration and execution decisions for multi-hop task offloading in mobile vehicle edge computing","authors":"Wenjie Zhou, Tian Zhang, Zekun Lu, Linbo Zhai","doi":"10.1016/j.vehcom.2025.100950","DOIUrl":"10.1016/j.vehcom.2025.100950","url":null,"abstract":"<div><div>As the Internet of Things (IoT) drives the development of Vehicular Edge Computing (VEC), there is a surge in computational demand from emerging in-vehicle applications. Most existing studies do not fully consider the frequent changes in network topology under high mobility of vehicles and the underutilization of idle resources by single-hop offloading. To this end, we propose a task offloading scheme for vehicular edge computing based on multi-hop offloading. The scheme allows task vehicles to offload tasks to service vehicles with excess idle resources outside the communication range, and adapts to dynamic changes in network topology by introducing the concept of neighboring vehicle connection time. This study aims to minimize the delayed energy consumption utility value of the task under the conditions of satisfying the maximum task delay limit, vehicle computational and storage resource constraints. In response to this NP-hard problem, a two-stage reinforcement learning strategy MOCDD (combining Deep Q Network (DQN) and Deep Deterministic Policy Gradient (DDPG)) is proposed to divide the mixed action space into pure discrete and pure continuous action space to determine task migration, executive decision and vehicle transmission power. Simulation results verify the effectiveness of the proposed scheme.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"55 ","pages":"Article 100950"},"PeriodicalIF":5.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563853","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

Impact of sea cluttering and wave shadowing on U2S MIMO channel model incorporating UAV-ship 6D motion in maritime environments 海洋杂波和波浪阴影对海洋环境下包含无人机舰船6D运动的U2S MIMO信道模型的影响

IF 6.7 2区计算机科学

Vehicular Communications Pub Date : 2025-08-05 DOI: 10.1016/j.vehcom.2025.100963

Naeem Ahmed, Farman Ali, Qingzhe Deng, Qiuming Zhu, Xiaomin Chen, Boyu Hua, Junwei Bao, Kai Mao

{"title":"Impact of sea cluttering and wave shadowing on U2S MIMO channel model incorporating UAV-ship 6D motion in maritime environments","authors":"Naeem Ahmed, Farman Ali, Qingzhe Deng, Qiuming Zhu, Xiaomin Chen, Boyu Hua, Junwei Bao, Kai Mao","doi":"10.1016/j.vehcom.2025.100963","DOIUrl":"https://doi.org/10.1016/j.vehcom.2025.100963","url":null,"abstract":"Unmanned aerial vehicles (UAVs) are increasingly integrated into maritime communication systems, presenting unique challenges due to complex maritime scenario. By considering six-dimensional (6D) motion of both UAV and ship alongside sea cluttering and wave shadowing phenomena, this paper presents a novel non-stationary 6D geometry-based multiple-input multiple-output (MIMO) channel model for UAV to ship (U2S) communications for maritime scenario. Besides, the dynamic interactions between UAV and ship motions and maritime environments are also described in the proposed model. The time-variant channel coefficient and channel parameters like, path loss (PL), shadow fading (SF), Doppler frequencies, wave shadowing, sea cluttering, time-variant distances, time-variant delay, time-variant power, time-variant angles, are derived and analyzed thoroughly in this proposed method. Additionally, the theoretical and statistical properties like, probability density function (PDF), autocorrelation function (ACF), level crossing rate (LCR), Doppler power spectral density (DPSD), and signal to clutter noise ratio (SCNR) are investigated with the effect of sea cluttering and wave shadowing. Finally, the validation of the channel model and its theoretical derivations highlight its suitability for evaluating and designing U2S communication systems in maritime environments. The suggested model can be useful for improving U2S communication systems, to enhance reliability and performance in maritime communication environments.","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"14 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900736","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

Blockchain-enabled intrusion detection systems for real-time vehicle monitoring 支持区块链的入侵检测系统，用于实时车辆监控

IF 6.7 2区计算机科学

Vehicular Communications Pub Date : 2025-08-05 DOI: 10.1016/j.vehcom.2025.100961

Mritunjay Shall Peelam, Vinay Chamola, Brijesh Kumar Chaurasia

{"title":"Blockchain-enabled intrusion detection systems for real-time vehicle monitoring","authors":"Mritunjay Shall Peelam, Vinay Chamola, Brijesh Kumar Chaurasia","doi":"10.1016/j.vehcom.2025.100961","DOIUrl":"https://doi.org/10.1016/j.vehcom.2025.100961","url":null,"abstract":"Blockchain Networks (BCNs) have become critical in various applications, and ensuring their security against cyber threats is essential for maintaining their reliability and confidentiality. This paper investigates the crucial role of Intrusion Detection Systems (IDS) in enhancing the security of BCNs, particularly in the context of real-time vehicle monitoring. The study begins with a thorough overview of blockchain technology, highlighting key security challenges such as vulnerabilities in smart contracts, the risk of 51% attack, and regulatory compliance issues. It emphasizes the need for robust security measures, with IDS emerging as a vital defense mechanism. IDS employs advanced techniques, including signature-based detection, anomaly detection, and behavioral analysis, to monitor network traffic and user activities, thereby improving the resilience of BCNs by identifying and addressing potential threats in real-time. For real-time vehicle monitoring, IDS is essential for ensuring the integrity and security of data, preventing unauthorized access, and maintaining user trust in blockchain-enabled transportation systems. This paper provides a comprehensive analysis of IDS's role in securing blockchain networks for real-time vehicle monitoring, offering valuable insights into enhancing the security of these systems in a dynamic cyber environment.","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"15 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900737","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

Capacity and outage analysis of SM-OTFS system with imperfect CSI in V2V communications V2V通信中CSI不完善的SM-OTFS系统容量及中断分析

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-05-05 DOI: 10.1016/j.vehcom.2025.100931

Zhiquan Bai , Runlai Wang , Yingchao Yang , Huili Hu , Jingxin Li , Xiao Zhou , Chengyou Wang , Jian Dai

{"title":"Capacity and outage analysis of SM-OTFS system with imperfect CSI in V2V communications","authors":"Zhiquan Bai , Runlai Wang , Yingchao Yang , Huili Hu , Jingxin Li , Xiao Zhou , Chengyou Wang , Jian Dai","doi":"10.1016/j.vehcom.2025.100931","DOIUrl":"10.1016/j.vehcom.2025.100931","url":null,"abstract":"<div><div>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 more important in V2V communications. Providing efficient and reliable wireless communication services to high-mobility users has become a critical issue. Spatial modulation (SM) based orthogonal time frequency space (OTFS) (SM-OTFS) system can improve the reliability and effectiveness of V2V communications because of the excellent Doppler shift resistance of OTFS modulation and the low complexity of SM transmission. In this paper, considering the case that achieving perfect channel estimation is really challenging in actual situation, we derive and analyze the capacity and outage performance of the SM-OTFS system under the circumstance of ideal pulse and imperfect channel state information (CSI) based on the statistical probability and the delay-Doppler domain (DD) input-output relationship. Our theoretical analysis and derivation are approved by the numerical results. Moreover, we also demonstrate the effect of the number of resolvable multipaths, the error of channel estimation, and the different moving speeds on the performance of the SM-OTFS system in V2V communications.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100931"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911619","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

CLE-based authenticated key agreement with PUF-secured key for vehicle-to-infrastructure 基于cle的身份验证密钥协议与车辆到基础设施的puf安全密钥

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-05-22 DOI: 10.1016/j.vehcom.2025.100942

Suhui Liu , Liquan Chen , Liqun Chen , Yu Wang , Yaqing Zhu

{"title":"CLE-based authenticated key agreement with PUF-secured key for vehicle-to-infrastructure","authors":"Suhui Liu , Liquan Chen , Liqun Chen , Yu Wang , Yaqing Zhu","doi":"10.1016/j.vehcom.2025.100942","DOIUrl":"10.1016/j.vehcom.2025.100942","url":null,"abstract":"<div><div>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, while Encryption-based AKA can bring deniability and high privacy, which means no adversary can know who sent the AKA message. Certificateless encryption (CLE) can simultaneously solve burdensome certificate management and key escrow. However, existing certificateless cryptography requires two loosely combined public keys to represent a device and does not consider the physical security of storing secret keys locally. This paper first designed an improved CLE scheme with one-device-one-public-key, and performance comparisons show that the proposed CLE has optimal storage and computation performance. Considering that rare work was put on encryption-based AKA, this paper proposed a deniable and privacy-preserving certificateless AKA for V2I communication by incorporating Physically Unclonable Function (PUF)-secured key management to prevent physical leakage of keys, named CLE-AKA-PUF. Feature comparison illustrates that CLE-AKA-PUF supports key escrow-free, dual authentication, physical security, deniability, and high privacy. Security proofs and performance analysis demonstrate the practicability and efficiency of CLE-AKA-PUF.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100942"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170398","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

Enhancing security in vanets: Adaptive Bald Eagle Search Optimization based multi-agent deep Q neural network for Sybil attack detection 增强vanet的安全性：基于自适应秃鹰搜索优化的多智能体深度Q神经网络用于Sybil攻击检测

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-04-24 DOI: 10.1016/j.vehcom.2025.100928

M. Ajin, R.S. Shaji

{"title":"Enhancing security in vanets: Adaptive Bald Eagle Search Optimization based multi-agent deep Q neural network for Sybil attack detection","authors":"M. Ajin, R.S. Shaji","doi":"10.1016/j.vehcom.2025.100928","DOIUrl":"10.1016/j.vehcom.2025.100928","url":null,"abstract":"<div><div>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, that might generate traffic congestion and affect transportation safety services. Different Mechanisms have been implemented to discover various attacks in VANET, yet VANET meets diverse attacks. Therefore, this research article developed an effective Sybil attack detection model namely Adaptive Bald Eagle Search Optimization (ABESO) based Multi-agent-Deep Q Neural network (MA-DQN). The principal objective of the ABESO based DQN is to enhance the security level of VANET by identifying the Sybil Attacks. In this, clustering and effective cluster head selection are performed to discover the Sybil attacks. In the suggested ABESO based DQN algorithm, robust clustering is carried out, in which vehicle nodes of VANET are clustered through the utilization of the BIRCH clustering technique. Our proposed ABESO based DQN algorithm augments the overall network efficiency by effective cluster head selection. Taylor-based Waterwheel Plant (TWP) is exploited in the cluster head selection and diminishes the overhead in the network. In the proposed model, the MDQN-based approach selects the features and ABESO based DQN delivers an optimal output, i.e., it discovers normal and Sybil attacks. Experimental results are carried out on the basis of the sybil attack detection dataset that holds multiple data regarding attacks. The detection results affirm that the efficiency of the proposed ABESO based DQN approach is superior and outperformed previous methods.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100928"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935907","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

Geometric Optimisation of Unmanned Aerial Vehicle Trajectories in Uncertain Environments 不确定环境下无人机轨迹几何优化

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-05-12 DOI: 10.1016/j.vehcom.2025.100938

J Akshya , M Sundarrajan , S. Amutha , Rajesh Kumar Dhanaraj , Adil O. Khadidos , Alaa O. Khadidos , Shitharth Selvarajan

{"title":"Geometric Optimisation of Unmanned Aerial Vehicle Trajectories in Uncertain Environments","authors":"J Akshya , M Sundarrajan , S. Amutha , Rajesh Kumar Dhanaraj , Adil O. Khadidos , Alaa O. Khadidos , Shitharth Selvarajan","doi":"10.1016/j.vehcom.2025.100938","DOIUrl":"10.1016/j.vehcom.2025.100938","url":null,"abstract":"<div><div>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 complex geometries, dynamic obstacles, and multi-objective requirements. These challenges call for a mathematically sound framework that seamlessly integrates convex analysis and computational geometry to provide an optimal trajectory planning framework. This research work introduces a convex optimisation framework for UAV trajectory planning which unifies multiple objectives, like minimising energy consumption, maximising spatial coverage, and ensuring the smoothness of the path, into a single convex objective function. More importantly, it indicates that obstacle dynamics and uncertain environmental conditions are handled better by it, so it is relatively easier for safe and efficient navigation. Proven to converge faster and with higher precision than RRT*, A*, and Dijkstra, the approach proposed here enjoys intrinsic convex properties, which ensure global optimality. Qualitative measurements show the efficiency of the proposed framework. The result is energy efficiency of 90%, with 92% coverage, 98% constraint satisfaction, and 95% path smoothness, which is 15-25% better on all metrics than traditional approaches can offer. By bridging between theory in convex optimisation and practice for solving multi-objective problems in a dynamic setting, this study provides a more robust solution for UAV trajectory planning.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100938"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068776","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

Rigid communication topologies: Impact on stability, safety, energy consumption, passenger comfort, and robustness of vehicular platoons 刚性通信拓扑：对车辆队列稳定性、安全性、能耗、乘客舒适度和鲁棒性的影响

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-05-12 DOI: 10.1016/j.vehcom.2025.100936

Amir Zakerimanesh , Tony Zhijun Qiu , Mahdi Tavakoli

{"title":"Rigid communication topologies: Impact on stability, safety, energy consumption, passenger comfort, and robustness of vehicular platoons","authors":"Amir Zakerimanesh , Tony Zhijun Qiu , Mahdi Tavakoli","doi":"10.1016/j.vehcom.2025.100936","DOIUrl":"10.1016/j.vehcom.2025.100936","url":null,"abstract":"<div><div>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 vehicles, their relative velocities, and relative accelerations. Thus, to have access to these relative values, the coupled dynamics between pairs of neighboring vehicles are formulated, considering initial conditions (position, velocity, acceleration), the velocity/acceleration trajectory of the leader vehicle, deployed RCT, and the parity/disparity between vehicles. By decoupling the dynamics using a mapping matrix structured on deployed RCT, the features of the vehicles, and control gains, precise formulations for distance errors, relative velocities, and relative accelerations between all neighboring vehicles, over the travel time, are obtained. Comparing performance metric results across RCTs highlights that downstream information transmission—from vehicles ahead, particularly the leader vehicle, to vehicles behind—significantly enhances platoon stability, safety, energy consumption, and passenger comfort metrics. Conversely, receiving state information from vehicles behind degrades metrics, compromising safety, increasing energy consumption, and reducing passenger comfort. These findings underscore that forward-looking, leader-centric communications between vehicles markedly enhance platoon efficiency and safety.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100936"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068777","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

Perceptual data importance and freshness aware transmission in millimeter wave vehicular networks 毫米波车载网络中感知数据重要性和新鲜度感知传输

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-08-01 Epub Date: 2025-05-16 DOI: 10.1016/j.vehcom.2025.100939

Chenyuan He , Zhouyu Zhang , Yingfeng Cai , Hai Wang , Long Chen , Fenghua Huang

{"title":"Perceptual data importance and freshness aware transmission in millimeter wave vehicular networks","authors":"Chenyuan He , Zhouyu Zhang , Yingfeng Cai , Hai Wang , Long Chen , Fenghua Huang","doi":"10.1016/j.vehcom.2025.100939","DOIUrl":"10.1016/j.vehcom.2025.100939","url":null,"abstract":"<div><div>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 millimeter-wave (mmWave) communication technology. This strategy takes into account the characteristics of vehicular perceptual data, i.e., the importance and freshness of the data, and constructs a mixed-integer nonlinear sum-of-ratios optimization problem. To meet the stringent real-time decision-making requirements of vehicular networks, we leverage the transmission slot characteristics of the Time Division Multiple Access (TDMA) Medium Access Control (MAC) architecture to transform the nonlinear original problem into a series of approximate integer linear programming (ILP) problems. Then we employ maximum weight matching in graph theory to further reduce computational complexity, enabling the problem to be solved in polynomial time. Additionally, we have designed a brute-force algorithm to ensure the global optimum is achieved, thereby validating the performance of our proposed algorithm. Comparative simulation studies with the brute-force algorithm, the ILP solver, the edge coloring algorithm, our previously developed parameterization-based iterative algorithm (PIA), and the First-Come-First-Serve (FCFS) scheduling scheme verify the effectiveness of our proposed algorithm.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"54 ","pages":"Article 100939"},"PeriodicalIF":5.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084086","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