Latest Research in Vehicular Ad Hoc Networks (VANETs)

Top Research Topics in Vehicular Ad Hoc Networks (VANETs)

• Networking and Internet Architecture — 6 papers
• IoT and Edge/Fog Computing — 4 papers
• Vehicular Ad Hoc Networks (VANETs) — 4 papers
• Software-Defined Networks and 5G — 3 papers
• UAV Applications and Optimization — 2 papers
• Satellite Communication Systems — 1 papers
• Network Time Synchronization Technologies — 1 papers
• Energy Harvesting in Wireless Networks — 1 papers
• Distributed, Parallel, and Cluster Computing — 1 papers
• Signal Processing — 1 papers

Highest-Cited Papers

1. Graph neural network-based service migration decision in vehicular networks
2. Dynamic adjustment and load balancing of 6G network resources for the instantaneous peak demand of concerts
3. Reliability-oriented edge computation offloading strategy for Internet of Vehicles: based on improved hybrid fox optimization algorithm
4. Intelligent Vehicular Routing and Optimal Resource Allocation Using Deep Reinforcement Learning for Urban VANETs
5. Threshold-Gated Conflict-Aware Arc Selection for Satellite Task Scheduling: Evidence from Starlink Mega-Constellation Simulations
6. Message-Level Scheduling for RLNC-Coded Multi-Source Traffic
7. Beyond UDP: RDMA as the Missing Link for Gigasample Software-Defined Radio
8. Toward Fully Autonomous 6G Networks: AI-driven Operational Efficiency and Optimization
9. GT-PPO: Graph Attention-Based and Sequence-Aware Deep Reinforcement Learning for Adaptive SFC Orchestration in SAGIN-MEC
10. Vehicle as a Service: Fuzzy Reward-Based Multi-Agent Deep Reinforcement Learning for Task Scheduling in Vehicular Edge Computing
11. Cross-Layer Energy Management in Embedded AIoT Sensor Networks: A Structured Review, Full-Cycle Energy Model, and Break-Even Analysis
12. Attention-guided deep embedding framework for heterogeneous vehicular clustering and cluster head selection in dynamic VANETs
13. MAQDRL: QuadTree-Based Multi-Agent Federated Deep Q-Learning for Collision Avoidance and Routing Optimization with MEC-Aware Communication Analysis
14. Age‐Aware Energy and Resource Optimization for Federated Air Quality Monitoring With UAVs
15. Multi agent PPO for terahertz cell free mobile edge computing networks
16. Toward AI-Native 6G Air Interface: A 3GPP Perspective on Protocol Framework
17. WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network Optimization
18. AI ‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare
19. RL-based Network Slice Embedding over Space Division Multiplexed Elastic Optical Networks
20. Application-aware power management for IAB-enabled V2I networks in 6 G: a DRL-based framework for energy efficiency and learning stability