QTPC: A Q-Learning Transmission Power Control Mechanism for Edge-Cloud Wireless Body Area Networks. (November 2020)
- Record Type:
- Journal Article
- Title:
- QTPC: A Q-Learning Transmission Power Control Mechanism for Edge-Cloud Wireless Body Area Networks. (November 2020)
- Main Title:
- QTPC: A Q-Learning Transmission Power Control Mechanism for Edge-Cloud Wireless Body Area Networks
- Authors:
- Su, Haoru
Yuan, Xiaoming
Sun, Enchang
Si, Pengbo
Chen, Huamin - Abstract:
- Abstract: Wireless body area networks collect biological signals from human body and sensors connect wirelessly for various nonmedical and medical applications. Energy efficiency is one of the most essential problems in wireless body area networks since the limited battery capacity. In this paper, a Q-learning transmission power control (QTPC) mechanism for edge-cloud wireless body area networks is proposed. Simulation results show that the proposed scheme improves the network performance in the metrics of energy efficiency and system throughput.
- Is Part Of:
- Journal of physics. Volume 1682(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1682(2020)
- Issue Display:
- Volume 1682, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1682
- Issue:
- 1
- Issue Sort Value:
- 2020-1682-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1682/1/012048 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25381.xml