5 papers
Fast Surrogate Learning for Multi-Objective UAV Placement in Motorway Intelligent Transportation System
Weian Guo, Shixin Deng, Wuzhao Li +1
We address multi-objective unmanned aerial vehicle (UAV) placement for motorway intelligent transportation systems, where deployments must balance coverage, link quality, and UAV c…
Hierarchical Evolutionary Optimization with Predictive Modeling for Stable Delay-Constrained Routing in Vehicular Networks
Zhang Zhiou, Guo Weian, Zhang Qin +2
Vehicular Ad Hoc Networks (VANETs) are a cornerstone of intelligent transportation systems, facilitating real-time communication between vehicles and infrastructure. However, the d…
Multi-Objective Communication Optimization for Temporal Continuity in Dynamic Vehicular Networks
Weian Guo, Wuzhao Li, Li Li +2
Vehicular Ad-hoc Networks (VANETs) operate in highly dynamic environments characterized by high mobility, time-varying channel conditions, and frequent network disruptions. Address…
Blockchain-Based Multi-Path Mobile Access Point Selection for Secure 5G VANETs
Zhiou Zhang, Weian Guo, Li Li +1
This letter presents a blockchain-based multi-path mobile access point (MAP) selection strategy for secure 5G vehicular ad-hoc networks (VANETs). The proposed method leverages bloc…
Adaptive Genetic Selection based Pinning Control with Asymmetric Coupling for Multi-Network Heterogeneous Vehicular Systems
Weian Guo, Ruizhi Sha, Li Li +2
To alleviate computational load on RSUs and cloud platforms, reduce communication bandwidth requirements, and provide a more stable vehicular network service, this paper proposes a…