A5056533785- Energy Efficient Wireless Sensor Networks
- Wireless Body Area Networks
- Software-Defined Networks and 5G
- Molecular Communication and Nanonetworks
- Network Traffic and Congestion Control
- Service-Oriented Architecture and Web Services
- Interconnection Networks and Systems
- Optical Wireless Communication Technologies
- RFID technology advancements
- Software System Performance and Reliability
- Embedded Systems and FPGA Design
- Cloud Computing and Resource Management
- Simulation and Modeling Applications
- Mobile Agent-Based Network Management
- Opportunistic and Delay-Tolerant Networks
- Satellite Communication Systems
- Advanced Optical Network Technologies
- Security in Wireless Sensor Networks
Tianjin University
2023-2025
University of Wollongong
2024
Springer Nature (Germany)
2019
Tianjin Normal University
2019
Nowadays, the needs of healthcare for elderly are growing rapidly. To provide continuous all-day medical monitoring and diagnoses at low cost, wireless body area networks (WBANs) have become a forward-looking technology since it is regarded as potential solution remote collecting physical symptoms information. Because its application characteristics, reliability delay most important, energy consumption also to be considered. However, due limitation large propagation loss complicated channel...
Wireless body area networks (WBANs) are composed of several tiny sensor devices which embedded on or implanted in the human body. They designed to continuously transmit sensed physiological data and act as key infrastructures for remote healthcare monitoring treatment. Considering limited power supply, varying link connectivity, complicated channel environment, design routing protocol WBANs is challenging. The existing algorithms cannot fully satisfy application requirements. Focusing lower...
This paper considers networks with a reconfigurable topology so called 60 GHz dynamic links that can be activated or disabled over time. A fundamental problem is to jointly determine which are active and the route chosen by source nodes To this end, outlines hierarchical deep reinforcement learning solution used compute optimal policy determines for each time slot (i) links, (ii) source–destination pair. The results show proposed approach in maximum average queue length 80% shorter than...
This paper proposes an enhanced transport layer protocol for precise flow control in data centers, referred to as PFDCT, combining explicit rate (priority scheduling) and implicit (marking algorithm with dynamic threshold) innovatively, while satisfying the transmission requirements of each flow. It enables multiple flows share bandwidth fairly, which is rarely achieved by previous protocols. Our design stems from observation that different packets a center network need be processed...