A5032809887- Underwater Vehicles and Communication Systems
- Optical Wireless Communication Technologies
- Water Quality Monitoring Technologies
- IoT Networks and Protocols
- Energy Harvesting in Wireless Networks
- Advanced MIMO Systems Optimization
- Neural Networks and Reservoir Computing
- Smart Grid Security and Resilience
- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
- Smart Grid Energy Management
- Power Line Communications and Noise
- Distributed Control Multi-Agent Systems
- Energy Efficient Wireless Sensor Networks
Korea University of Science and Technology
2023-2024
Korea Institute of Ocean Science and Technology
2019-2024
Korea Maritime and Ocean University
2020
Integrating underwater optical wireless communication (UOWC) with marine applications, such as sensors, buoys, and surface vehicles (MSVs), requires the aligning maintaining of beam between transmitter receiver for point-to-point (P2P) UOWC during data transmission. An additional issue is difficulty in exchanging batteries applications because relatively high costs risks compared battery terrestrial applications. This study seeks to resolve these issues via joint optimization divergence...
In this article, we show the development and implementation of Internet Maritime Things (IoMT) platform that supports long-range high-rate communication for remote online marine water quality monitoring. We first develop IoMT device gateway interwork with international standard Internet-of-Things (IoT) software platforms universal utilization in field The proposed play a role similar to IoT on land, but it is optimized use consideration practical characteristics using sensors ocean....
In this work, we study learning-aided adaptive control of optical beam alignment to maintain a seamless connection with high communication performance in point-to-point (P2P) underwater wireless (UOWC). To end, propose two-step two-agent deep reinforcement learning (TSTA-DRL) algorithm that enables an sensor (US) installed on the seabed sequentially determine orientation and divergence angles for transmitting its sensing data unmanned surface vehicle (USV) may irregularly shake above sea...
In this work, we investigate a cost-efficient strategy to implement robust online overhead transmission line monitoring for stable energy transfer in smart power grid. As first step, present an analytical framework evaluate communication performances of wireless sensor networks installed the real-time line, wherein each tower performs fountain code (FC)-based guaranteeing reliability between and substation. Then, given terms successful FC-based probability its end-to-end delay tower....
In this study, the problem of dynamic channel access in distributed underwater acoustic sensor networks (UASNs) is considered. First, we formulate UASNs as a multi-agent Markov decision process, wherein each considered an agent whose objective to maximize total network throughput without coordinating with or exchanging messages among different sensors. We then propose deep Q-learning-based algorithm that enables learn not only behaviors (i.e., actions) other sensors, but also physical...
In this work, we consider a point-to-point underwater optical wireless communication scenario where an sensor (US) transmits its sensing data to remotely operated vehicle (ROV). Before the US ROV, ROV performs simultaneous lightwave information and power transfer (SLIPT), delivering both control US. Under considered scenario, our objective is maximize energy harvesting at while supporting predetermined performance between two nodes. To achieve objective, develop hierarchical deep Q-network...
In this paper, we consider an aerial UAV base station (UBS) assisted cellular network that consists of a single ground macro (MBS), multiple UBSs, and terminals. We assume the MBS transmits in licensed band while UBSs use separate unlicensed to transmit For utilization propose cooperative decode-forward (DF) protocol which assist terminals simultaneously, formulate joint optimization problem for minimizing aggregate gap between target rates throughputs To solve problem, efficient nested...
In this paper, we analyze the underwater environmental factors that determine quality of channel and implement a Deep reinforcement learning (DRL) algorithm to adjust coding rate using sensor information attached marine surface vehicle (MSV) improve communication performance when establishing an optical wireless (UOWC) link between node located on seabed MSV sea surface. The agent DRL model collects turbidity data in real-time determines number repetitions transmitted meet required packet...
This work presents the implementation of Internet Maritime Things (IoMT) platform, which enables long-range and high-rate marine communication. Then, real sea experiments are performed to show performances proposed IoMT platform. The results shows that platform can gather not only data from sensors but also high definition camera video distances 25 km 40 control center on land under one-hop two-hop transmissions, respectively.