- Vehicular Ad Hoc Networks (VANETs)
- Age of Information Optimization
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Cognitive Functions and Memory
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Transportation and Mobility Innovations
- Distributed Sensor Networks and Detection Algorithms
- Neural Networks and Applications
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Mobile Ad Hoc Networks
- Robotics and Automated Systems
- Blockchain Technology Applications and Security
- Mobile Crowdsensing and Crowdsourcing
- Advanced Wireless Communication Technologies
- Brain Tumor Detection and Classification
University of Electronic Science and Technology of China
2023-2024
Chongqing University
2018-2022
Recent advances in wireless communication, sensing, computation and control technologies have paved the way for development of a new era Internet Vehicles (IoV). Demanded by requirements information-centric data-driven intelligent transportation systems (ITS), it is great significance to explore paradigms IoV supporting large-scale, real-time, reliable information services. In this article, we propose hierarchical system architecture, which aims at synthesizing software defined networking...
Intelligent transportation system (ITS) is becoming an important part of our society. Vehicular ad hoc networks (VANETs), as one the most fundamental technologies in ITS, have attracted great interests both industry and academia. Due to ever-increasing data demands VANETs, it challenging meet requirements especially for safety-critical applications. Fog computing emerging paradigm with vision supporting low communication latency, enhancing quality service, improving efficiency network....
Recent advances in sensing technologies, wireless communications and computing paradigms drive the evolution of vehicles toward intelligent electronic consumer products. This paper investigates digital twins vehicular edge (DT-VEC) via cooperative uploading vehicles, aiming at achieving quality-cost tradeoff DT-VEC. First, a DT-VEC architecture is presented, twin system modeled to reflect real-time status physical environments. Second, we derive model vehicle-to-infrastructure (V2I) by...
Ahstract— With the rapid development of vehicular applications and mobile devices, demands for resources to process time-critical computation-intensive tasks are increasingly prominent. In this paper, we propose a two-layer Vehicular Fog Computing (VFC) architecture, including client layer fog layer. Vehicles may generate as clients, which further assigned nodes in processing. The aggregates available vehicles infrastructures by exploiting their communication, computation storage...
Recent advances in wireless communication, sensing, and computing technologies have paved the way for development of a new era Internet Vehicles (IoV). Nevertheless, it is challenging to process data computation intensive tasks with strict time constraints due heterogeneous storage, capacities IoV network nodes, spotty connections vehicles infrastructures, unevenly distributed workload, high mobility. In this paper, we propose two-layer vehicular fog (VFC) architecture explore synergistic...
Cooperative sensing and heterogeneous information fusion are critical to realize vehicular cyber-physical systems (VCPSs). This paper makes the first attempt quantitatively measure quality of VCPS by designing a new metric called Age View (AoV). Specifically, we present system architecture where can be cooperatively sensed uploaded via vehicle-to-infrastructure (V2I) communications in edge computing (VEC). Logical views constructed fusing at nodes. Further, formulate problem deriving...
Heterogeneous information fusion is one of the most critical issues for realizing vehicular cyber-physical systems (VCPSs). This work makes first attempt at quantitatively measuring quality heterogeneous in VCPS by designing a new metric called Age View (AoV). Specifically, we derive sensing model based on multi-class M/G/1 priority queue and transmission Shannon theory. On this basis, formally define AoV modeling timeliness, completeness, consistency formulate problem aiming to minimize...
With the development of sensing technologies, vehicle-to-everything (V2X) communications, edge computing paradigm, vehicular cyber-physical systems (VCPS) are emerging as most fundamental platform for realizing future intelligent transportation (ITSs). In particular, construction logical views at nodes based on heterogeneous information and uploading critical to realization VCPS. However, a higher-quality view in terms timeliness accuracy may require higher cost uploading. this, this paper...
Cooperative sensing and heterogeneous information fusion are critical to realize vehicular cyber-physical systems (VCPSs). This paper makes the first attempt quantitatively measure quality of VCPS by designing a new metric called Age View (AoV). Specifically, we present system architecture where can be cooperatively sensed uploaded via vehicle-to-infrastructure (V2I) communications in edge computing (VEC). Logical views constructed fusing at nodes. Further, formulate problem deriving...
With the development of sensing technologies, vehicle-to-everything (V2X) communications, edge computing paradigm, vehicular cyber-physical systems (VCPS) are emerging as most fundamental platform for realizing future intelligent transportation (ITSs). In particular, construction logical views at nodes based on heterogeneous information and uploading critical to realization VCPS. However, a higher-quality view in terms timeliness accuracy may require higher cost uploading. this, this paper...
Heterogeneous information fusion is one of the most critical issues for realizing vehicular cyber-physical systems (VCPSs). This work makes first attempt at quantitatively measuring quality heterogeneous in VCPS by designing a new metric called Age View (AoV). Specifically, we derive sensing model based on multi-class M/G/1 priority queue and transmission Shannon theory. On this basis, formally define AoV modeling timeliness, completeness, consistency formulate problem aiming to minimize...
Vehicular edge computing (VEC) becomes a promising paradigm for the development of emerging intelligent transportation systems. Nevertheless, limited resources and massive transmission demands bring great challenges on implementing vehicular applications with stringent deadline requirements. This work presents non-orthogonal multiple access (NOMA) based architecture in VEC, where heterogeneous nodes are cooperated real-time task processing. We derive vehicle-to-infrastructure (V2I) model by...
Recent advances in sensing technologies, wireless communications, and computing paradigms drive the evolution of vehicles becoming an intelligent electronic consumer products. This paper investigates enabling digital twins vehicular edge (DT-VEC) via cooperative uploading, makes first attempt to achieve quality-cost tradeoff DT-VEC. First, a DT-VEC architecture is presented, where heterogeneous information can be sensed by uploaded node vehicle-to-infrastructure (V2I) communications. The are...