Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks

Computers, Год журнала: 2025, Номер 14(1), С. 13 - 13

Опубликована: Янв. 3, 2025

The rise of autonomous vehicles necessitates advanced communication networks for effective data exchange. routing protocols Ad hoc On-Demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) are vital in mobile (MANETs) vehicular ad (VANETs). However, their performance is affected by changing network conditions. This study examines key parameters—MaxJitter, Hello/Beacon Interval, route validity time—and impact on AODV GPSR urban highway scenarios. simulation results reveal that increasing MaxJitter enhances throughput 12% cities but decreases it 8% highways, while declines 15% 10% highways. Longer Hello intervals improve settings reduce 6% Extending time increases GPSR’s Packet Delivery Ratio (PDR) cities, underscoring the need to optimize parameters enhanced VANET performance.

Язык: Английский

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A Joint Optimization of Resource Allocation Management and Multi-Task Offloading in High-Mobility Vehicular Multi-Access Edge Computing Networks

Ad Hoc Networks, Год журнала: 2024, Номер 166, С. 103656 - 103656

Опубликована: Сен. 6, 2024

Язык: Английский

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Oblivious Transfer-Based Authentication and Privacy-Preserving Protocol for 5G-Enabled Vehicular Fog Computing

IEEE Access, Год журнала: 2024, Номер 12, С. 100152 - 100166

Опубликована: Янв. 1, 2024

The fast development of vehicle technology and the appearance 5G networks have brought new opportunities as well challenges for vehicular fog computing. On one hand, these advances would bring a safer, more efficient, comfortable car onto our roads; but on other, they open up huge security privacy vulnerabilities. Current solutions typically offer inadequate coverage, rendering susceptible to diverse attacks. We present first holistic solution that combines entity authentication with preservation in 5G-enabled A novel feature obfuscation involves request messages at an early stage employs advanced cryptographic methods, any potential attacks much challenging while preventing even Trusted Authority (TA) from inferring their underlying purpose. This scheme not only maximizes communication, reduces interaction computational overhead also lessens dependency TA thus making it scalable resilient. Theoretical simulation results show merits this protocol reducing verification latency, packet loss rate along computation overheads communication overhead. Experimental demonstrate effectiveness proposed against existing approaches provide communications. work adds body knowledge taking capable step forward enhancing secured efficient operation ensuring secure roads deliver contextual alerts setting standards safety levels within network well.

Язык: Английский

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Dynamic Routing in Urban Transport Logistics under Limited Traffic Information

Communications - Scientific letters of the University of Zilina, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Язык: Английский

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Sixth Generation Enabling Technologies and Machine Learning Intersection: A Performance Optimization Perspective

Future Internet, Год журнала: 2025, Номер 17(2), С. 50 - 50

Опубликована: Янв. 21, 2025

The fifth generation (5G) of wireless communication is in its finalization stage and has received favorable reception many nations. However, research now geared towards the anticipated sixth-generation (6G) network. new 6G promises even more severe performance criteria than current 5G generation. New sophisticated technologies paradigms are expected to be incorporated into network designs procedures meet ever-dynamic user needs standards. These 6G-enabling include digital twin (DT), intelligent reflecting surface (IRS), visible light (VLC), quantum computing (QC), blockchain, unmanned aerial vehicles (UAVs), non-orthogonal multiple access (NOMA), among others. Optimal requires that machine learning (ML) techniques integrated over provide solutions highly complex networking problems, massive users, high overhead, computational complexity. Consequently, we have provided a state-of-the-art overview generations leading future 6G, huge emphases been laid on ML’s role optimization applications for different enabling technologies. Several key indicators application scenarios highlighted. ML proved significantly improve existing technologies, choosing appropriate approach can ultimately yield optimal results.

Язык: Английский

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Intelligence-Based Strategies with Vehicle-to-Everything Network: A Review

Future Internet, Год журнала: 2025, Номер 17(2), С. 79 - 79

Опубликована: Фев. 10, 2025

Advancements in intelligent vehicular networks and computing systems have created new possibilities for innovative approaches that enhance traffic safety, comfort, transportation performance. Machine Learning (ML) has become widely employed boosting conventional data-driven methodologies various scientific study domains. The integration of a Vehicle-to-Everything (V2X) system with ML enables the acquisition knowledge from multiple places, enhances operator’s awareness, predicts future crashes to prevent them. information serves functions, such as determining most efficient route, increasing driver’s knowledge, forecasting movement strategy avoid risky circumstances, eventually improving user convenience, security, overall highway experiences. This article thoroughly examines Artificial Intelligence (AI) methods are now investigated through different endeavors ad hoc (VANETs). Furthermore, it benefits drawbacks accompanying context VANETs simulation tools. Ultimately, this pinpoints prospective domains network development can utilize capabilities AI ML.

Язык: Английский

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Optimized Real-Time Decision Making with EfficientNet in Digital Twin-Based Vehicular Networks

Electronics, Год журнала: 2025, Номер 14(6), С. 1084 - 1084

Опубликована: Март 9, 2025

Real-time decision-making is vital in vehicular ad hoc networks (VANETs). It essential to improve road safety and ensure traffic efficiency flow. Integrating digital twins within VANET (DT-VANET) creates virtual replicas of physical vehicles, allowing in-depth analysis effective decision-making. Many network applications now use convolutional neural (CNNs). However, the growing model size latency make implementing them real-time systems challenging, most previous studies focusing on using CNNs still face significant challenges. Some models with sustainable performances have recently been proposed. One advanced among EfficientNet. may consider it a family significantly fewer parameters computational costs. This paper proposes EfficientNet-based optimized DT-VANET architecture. investigates performance EfficientNet digital-based networks. Extensive experiments proved that outperforms CNN (ResNet50, VGG16) accuracy, latency, efficiency, convergence time, which proves its effectiveness DT-VANET.

Язык: Английский

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Trust Management Scheme for Securing Vehicular Ad Hoc Networks Against Malicious Nodes and False Message Anomaly

Transactions on Emerging Telecommunications Technologies, Год журнала: 2025, Номер 36(4)

Опубликована: Март 18, 2025

ABSTRACT With the rapid development of intelligent transportation systems presents significant opportunities for vehicular ad hoc networks (VANETs) present themselves; yet, these also encounter numerous security challenges. In order to maintain road safety and traffic efficiency, information is usually shared through communication between vehicle nodes or roadside units (RSUs). Vehicle nodes, RSUs, trusted authorities (TAs) constitute majority VANETs. An approach hybrid trust management that distributed, HTMS‐V, presented mitigate potential internal attackers misleading messages in This framework considers attributes VANETs employs an enhanced subjective logic model assess trustworthiness both direct indirect metrics. Trust links among are formed by about interactions, determined degree distance them. The assessment outcomes utilized detect erroneous communications malevolent within network. To efficacy proposed approach, four distinct assault scenarios were devised comparative experiments on Veins network simulation platform. experimental findings indicate HTMS‐V proficiently withstands diverse attacks VANETs, successfully detecting many false even at a malicious node rate 40%. percentage 3%, 5%, 7%, 9%, meaning overall rates 15%, 21%, 27%. anomaly detection accuracy scheme was over 96%, message judgment 95%, positive less than 4%.

Язык: Английский

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Dynamic Routing in Urban Transport Logistics in Wartime Conditions

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 339 - 349

Опубликована: Янв. 1, 2025

Язык: Английский

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Enhancing Smart City Connectivity: a Multi-Metric CNN-LSTM beamforming based Approach to Optimize Dynamic Source Routing in 6G Networks for MANETs and VANETs

Опубликована: Июль 15, 2024

The advent of Sixth Generation (6G) wireless technologies introduces challenges and opportunities for Mobile Ad Hoc Networks (MANETs) Vehicular (VANETs), necessitating a reevaluation traditional routing protocols. This paper the Multi-Metric Scoring Dynamic Source Routing (MMS-DSR), novel enhancement (DSR) protocol, designed to meet demands 6G-enabled MANETs dynamic environments VANETs. MMS-DSR integrates advanced methodologies enhance performance in scenarios. Key among these is use CNN-LSTM based beamforming algorithm, which optimizes vectors dynamically, exploiting spatial-temporal variations characteristic 6G channels. enables adapt beam directions real-time on evolving network conditions, improving link reliability throughput. Furthermore, incorporates multi-metric scoring mechanism that evaluates routes multiple QoS parameters, including latency, bandwidth, reliability, enhanced by capabilities Massive MIMO IEEE 802.11ax standard. ensures route selection context-aware adaptive changing dynamics, making it effective urban settings where vehicular mobile nodes coexist. Additionally, protocol uses machine learning techniques predict future performance, enabling proactive adjustments decisions. integration allows effectively handle high mobility variability networks, offering robust solution communications, particularly smart cities.

Язык: Английский

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