A5015044423- Underwater Vehicles and Communication Systems
- Energy Efficient Wireless Sensor Networks
- Energy Harvesting in Wireless Networks
- Underwater Acoustics Research
- Indoor and Outdoor Localization Technologies
- Speech and Audio Processing
- Water Quality Monitoring Technologies
Zhejiang University
2021-2024
Zhejiang Ocean University
2023-2024
Underwater acoustic sensor networks (UASNs) have emerged as a viable networking approach due to their numerous aquatic applications in recent years. As vital component of UASNs, routing protocols are essential for ensuring reliable data transmissions and extending the longevity UASNs. Recently, several clustering-based been proposed reduce energy consumption overcome resource constraints deployed nodes. However, they rarely consider hot-spots' problem sink node isolation multihop underwater...
With the development of Internet Underwater Things (IoUT), underwater acoustic sensor networks (UASNs) have become an enabling system to support real-time and continuous data transmission. Existing scheduling-based medium access control (MAC) protocols ignored limitations between generation time transmission forwarding packets. This results in unavailability some scheduled slots, makes packets endure more waiting on relay nodes thereafter longer end-to-end delay. To reduce latency, this...
With the rapid development of autonomous underwater vehicles (AUVs) and continuous improvement marine exploration requirements, AUV formation has emerged as a promising technique for performing tasks with greater flexibility, adaptability, scalability. To achieve control, acoustic communication networks (UACNs) are widely used to support information exchange among AUVs. Considering broadcast communications in fully connected mobile UACNs, existing medium access control (MAC) protocols face...
For specific wideband sound source localization tasks performed in underwater environments, high precision, low computational complexity, and robustness are required to meet the demand for accurate location real-time processes. Traditional methods that rely on models signal processing techniques perform poorly complex but common scenarios where noise, reverberation, array deviations exist. Sound systems based deep neural networks proposed recently show superiority over conventional methods....
The characteristics of volatile ocean environments and complex acoustic communication channels have posed great difficulties to the design real-time data transmission in underwater wireless sensor networks (UWSNs). In this paper, we develop a centralized cross-layer protocol that mitigates network interference maximizes concurrent transmissions reduce end-to-end delay. Instead optimizing individual layers separately, blend traditional layered architecture combine physical layer, medium...