Resource Allocation in Body Area Networks for Energy Harvesting Healthcare Monitoring

2017 ◽  
pp. 553-587
Author(s):  
Shiyang Leng ◽  
Aylin Yener
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Body Area Networks ◽  
Body Area ◽  
Healthcare Monitoring

scholarly journals An Optimal Online Resource Allocation Algorithm for Energy Harvesting Body Area Networks

Algorithms ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 14 ◽  
Author(s):  
Guangyuan Wu ◽  
Zhigang Chen ◽  
Lin Guo ◽  
Jia Wu
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Body Area Networks ◽  
Body Area ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Online Resource

scholarly journals Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 44 ◽  
Author(s):  
Yi-Han Xu ◽  
Jing-Wei Xie ◽  
Yang-Gang Zhang ◽  
Min Hua ◽  
Wen Zhou
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Energy Harvesting ◽  
Energy Efficient ◽  
Area Network ◽  
Allocation Strategy ◽  
Body Area ◽  
Q Learning ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Wireless body area networks (WBANs) have attracted great attention from both industry and academia as a promising technology for continuous monitoring of physiological signals of the human body. As the sensors in WBANs are typically battery-driven and inconvenient to recharge, an energy efficient resource allocation scheme is essential to prolong the lifetime of the networks, while guaranteeing the rigid requirements of quality of service (QoS) of the WBANs in nature. As a possible alternative solution to address the energy efficiency problem, energy harvesting (EH) technology with the capability of harvesting energy from ambient sources can potentially reduce the dependence on the battery supply. Consequently, in this paper, we investigate the resource allocation problem for EH-powered WBANs (EH-WBANs). Our goal is to maximize the energy efficiency of the EH-WBANs with the joint consideration of transmission mode, relay selection, allocated time slot, transmission power, and the energy constraint of each sensor. In view of the characteristic of the EH-WBANs, we formulate the energy efficiency problem as a discrete-time and finite-state Markov decision process (DFMDP), in which allocation strategy decisions are made by a hub that does not have complete and global network information. Owing to the complexity of the problem, we propose a modified Q-learning (QL) algorithm to obtain the optimal allocation strategy. The numerical results validate the effectiveness of the proposed scheme as well as the low computation complexity of the proposed modified Q-learning (QL) algorithm.

A Survey of Recent Trends in Wireless Communication Standards, Routing Protocols, and Energy Harvesting Techniques in E-Health Applications

2015 ◽  
Vol 6 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Fahimeh Rezaei ◽  
Michael Hempel ◽  
Hamid Sharif
Keyword(s):  
Energy Harvesting ◽  
Wireless Communication ◽  
Routing Protocols ◽  
Body Area Networks ◽  
Body Area ◽  
Research Engagement ◽  
Sensor Networking ◽  
Recent Trends ◽  
New Applications ◽  
Health Applications

One of the most rapidly growing technology areas is the advances in sensing, networking, and miniaturization in medical domain, which enables innovative new applications. This is especially apparent in e-Health and telemedicine. There is an enormous demand for innovation in wireless sensor networking, body area networks, network security and routing, and many other areas, attracting the attention of numerous researchers. With all the advances it can be challenging to identify trends and areas with opportunities for research engagement. In this paper, the authors therefore review the state-of-the-art in wireless communication used in telemedicine and e-Health applications – ranging from the Wide Area Networks to Body Area Networks – and discuss the studies and literature that employ these technologies for e-Health applications. Moreover, recent routing protocols and techniques that are used for Body Area Networks are investigated. One key challenge for e-Health applications, particularly for mobile or patient-worn devices, is energy consumption and supply. One possible solution is found in energy harvesting, and our survey encompasses current challenges and accomplishments in its application to e-Health and discuss various promising techniques.

Semi-myopic algorithm for resource allocation in wireless body area networks

2018 ◽  
Vol 8 (1) ◽  
pp. 26-35
Author(s):  
Mohammad Karimzadeh-Farshbafan ◽  
Farid Ashtiani
Keyword(s):  
Resource Allocation ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area
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