Power control for body area networks: Accurate channel prediction by lightweight deep learning

Y Yang, D Smith, J Rajasegaran… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are reforming the health care industry by
providing higher communication efficiency, lower costs, and higher mobility. Among the …

Deep learning channel prediction for transmit power control in wireless body area networks

Y Yang, DB Smith, S Seneviratne - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The general non-stationarity of the wireless body area network (WBAN) narrowband radio
channel makes long-term prediction very challenging. However, long short-term memory …

Adaptive body area networks using kinematics and biosignals

A Moin, A Thielens, A Araujo… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The increasing penetration of wearable and implantable devices necessitates energy-
efficient and robust ways of connecting them to each other and to the cloud. However, the …

Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs

A Arghavani, H Zhang, Z Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Radio links in wireless body area networks (WBANs) are highly subject to short and long-
term attenuation due to the unstable network topology and frequent body blockage. This …

Channel deviation-based power control in body area networks

SD Van, SL Cotton, DB Smith - IEEE journal of biomedical and …, 2017 - ieeexplore.ieee.org
Internet enabled body area networks (BANs) will form a core part of future remote health
monitoring and ambient assisted living technology. In BAN applications, due to the dynamic …

Integrating IoT in WBANs: An energy-efficient and QoS-aware approach for rapid model-driven transmission power control and link adaptation

DR Chen - Internet of Things, 2024 - Elsevier
Abstract Wireless Body Area Networks (WBAN) are integral to the application framework of
the Internet of Things (IoT) domain, especially in applications demanding efficient …

DeepBAN: a temporal convolution-based communication framework for dynamic WBANs

K Liu, F Ke, X Huang, R Yu, F Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Wireless body area network (WBAN) has become a promising technology, which can be
widely applied in health monitoring, and so on. However, the performance of a practical …

Transmit power control for wireless body area networks using novel channel prediction

DB Smith, LW Hanlen, D Miniutti - 2012 IEEE Wireless …, 2012 - ieeexplore.ieee.org
We present a predictor for real Body-Area-Network (BAN) channels that is accurate for up to
2 seconds, even with a nominal channel coherence time of 500 ms. The predictor utilizes the …

Reducing power consumption in wireless body area networks: a novel data segregation and classification technique

AS Abiodun, MH Anisi, I Ali… - IEEE Consumer …, 2017 - ieeexplore.ieee.org
Chronic health issues such as hypertension, diabetes, high blood pressure, heart attack,
and asthma are widespread in our society. Health-care wireless body area networks …

Temporal correlation model‐based transmission power control in wireless body area network

S Archasantisuk, T Aoyagi, M Kim… - IET Wireless Sensor …, 2018 - Wiley Online Library
Researchers have encountered many challenges in developing communication system in
wireless body area networks (WBANs). These challenges include the dynamic …