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Vehicular Ad Hoc Network: A Review
Every industry, including academia and business, has seen a major change as a result of technological advancement. In the last two decades, smart...
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Congestion avoidance for electrically charged autonomous vehicles in vehicular Ad hoc network
It is undeniable that development is only possible with the help of technology. As a result, the advancement of autonomous technology has become the...
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Profit optimized task scheduling for vehicular fog computing
Vehicular fog computing has emerged as a promising paradigm that provisions computing at the network edge and alleviates the computation workload of...
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Lane Changing Maneuvers and Risk Analysis in Vehicular Network
Vehicular ad-hoc network is a rapidly emerging study field that has emerged as a potential issue for academics. Vehicle density is increasing day by...
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Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-art
The state-of-the-art framework for VANETs, Vehicles in Network Simulation (VEINS), is primarily sparse and fragmented. The combination of VANETs and...
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Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging Trends
In response to the rise of sophisticated vehicular applications, there has been a surge in demand for strong communication and processing...
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BCAV: Blockchain-based certificateless authentication system for vehicular network
With the emergence of Intelligent Transportation Systems (ITS), the communication between vehicles has become a major factor in achieving driver...
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Modelling, Simulation, and Performance Analysis of Intra-Vehicular Heterogeneous Networks
Vehicles today use a variety of network segments operated by different technologies and protocols within the car (CAN, LIN, Automotive Ethernet,...
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PRVC: A Novel Vehicular Ad-Hoc Network Caching Based on Pre-trained Reinforcement Learning
In recent years, network caching in Vehicular Ad-hoc Network (VANET) has gained significant interest, with particular interest around high mobility...
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Multi-Objective Evolutionary Optimization for Spectrum Allocation and Power Control in Vehicular Communications
This paper investigates the spectrum allocation and power control problems of Device-to-device enabled vehicular communications in a rapidly changing...
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Deep learning algorithms and mechanisms in navigation for vehicular crowd management systems in real time for smart transportation
Several different types of mobile applications rely on reliable estimates of vehicle mobility and density, such as vehicular ad hoc networks,...
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Multi-objective Optimization Framework for Trade-Off Among Pedestrian Delays and Vehicular Emissions at Signal-Controlled Intersections
Traffic congestion has several adverse effects on urban traffic networks. Increased travel times of vehicles, with the addition of excessive...
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Performance Analysis of Heterogeneous Network Using Relay Diversity in High-Speed Vehicular Communication
In the high-speed vehicular scenario, mobile users suffer from high Vehicle Penetration Loss (VPL) and large doppler spread. Due to this, signal...
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A High Consistency Wireless Key Generation Scheme for Vehicular Communication Based on Wiener Filter Extrapolation
Secret key generation from wireless channel is an emerging technology for communication network security, which exploits the reciprocity and time...
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Route Planning Using Multicasting Approach in Vehicular Ad Hoc Networks
It is essential to ensure the safety, comfort, mobility, and quality of enormous traffic commonly seen in smart cities every day. Intelligent...
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Joint optimization strategy of heterogeneous resources in multi-MEC-server vehicular network
As an important application scenario of Internet of Things in 5G, the vehicular network will produce a large number of computing tasks and data,...
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Cooperative localisation for multi-RSU vehicular networks based on predictive beamforming
The integration of sensing and communication has become essential to next-generation vehicular networks. In this paper, we investigate a...
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Meta-reinforcement learning for edge caching in vehicular networks
Content caching to local repositories closer to the user can significantly improve the utilization of the backbone network, reduce latency, and...
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A Hybrid Security Scheme for Inter-vehicle Communication in Content Centric Vehicular Networks
Content centric networking is one of the emerging paradigm for inter-vehicle communication that focuses on the contents being shared within the...
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Pursuit learning algorithm to minimize delay and energy consumption in vehicular-edge computing networks
As vehicular technology improves every day, the number of computationally-intensive and power-hungry tasks that need to be computed by a vehicle has...
