Abstract
For Body Area Network (BAN) applications, Human Body Communication (HBC) is more secure and energy-efficient compared to radio frequency communications (RFC). HBC exploits the conductive nature of human body tissues as a communication channel instead of the air. To further drive the energy efficiency of HBC systems, duty cycling can be applied to reduce the on-time of HBC transceivers via utilizing a Wakeup Receiver (WuRx) that turns the main receiver on, only when needed. This paper introduces an ultra-low power WuRx with very high sensitivity compared to previously reported HBC WuRx. The proposed WuRx provides a sensitivity of -96.2dBm with an energy efficiency of 3.5 pJ/bit outperforming existing RF and HBC WuRxs. In addition, the proposed WuRx has the ability to detect false triggering to prevent any non-required signal from waking up the main receiver. The WuRx was implemented in 65 nm technology occupying an active area of 0.0016m m2.
Original language | English (US) |
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Title of host publication | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems |
Subtitle of host publication | Technosapiens for Saving Humanity |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350326499 |
DOIs | |
State | Published - 2023 |
Event | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey Duration: Dec 4 2023 → Dec 7 2023 |
Publication series
Name | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity |
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Conference
Conference | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 12/4/23 → 12/7/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- false signal identification
- Human Body Communication
- Transceivers
- Wake-up Receiver
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems
- Biomedical Engineering
- Electrical and Electronic Engineering
- Instrumentation
- Artificial Intelligence