A5102564460- IoT and Edge/Fog Computing
- Digital Transformation in Industry
- Complex Network Analysis Techniques
- Advanced Text Analysis Techniques
- Advanced Data and IoT Technologies
- Service-Oriented Architecture and Web Services
- Video Surveillance and Tracking Methods
- Blockchain Technology Applications and Security
- Image Processing and 3D Reconstruction
- 3D Surveying and Cultural Heritage
- Advanced Image and Video Retrieval Techniques
- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
University of Electronic Science and Technology of China
2023-2025
Wuhan University
2024
Abstract In the era of sixth generation mobile networks (6G), industrial big data is rapidly generated due to increasing data‐driven applications in Industrial Internet Things (IIoT). Effectively processing such data, for example, knowledge learning, on resource‐limited IIoT devices becomes a challenge. To this end, we introduce cloud‐edge‐end collaboration architecture, which computing, communication, and storage resources are flexibly coordinated alleviate issue resource constraints....
UAVs can be deployed in many scenarios to provide various types of services via 6G edge communication. In these scenarios, it is necessary obtain the position a timely and accurate manner avoid UAV collisions. this paper, we consider improved passive localization algorithms aimed at reducing convergence time adapting extreme conditions. For sake complexity signals ensuring reliability receiving processes, reconsidered angle between arrival as feature positioning. Then, according...
In the era of Information and Communication, big data is rapidly generated due to increasing data-driven applications in Internet Things (IoT). Effectively processing such data, e.g., knowledge learning, on resource-limited IoT becomes a challenge. this paper, we introduce digital twin-enabled IoT, order achieve hyper-connected experience, green communication, sustainable computing. Although learning benefits from proposed system, system latency energy consumption are still our focus...