Title
Superregenerative Wake-Up Receiver with 20 µW Power Consumption for Human Body Communications
Abstract
The previous research works have shown that the modulation of the electric field induced on the human body surface enables to transfer data wirelessly. Method is known as human body communications (HBC) which has multiple advantages in comparison to traditional wireless radio communications over air. They include lower attenuation, less interference to/from other wireless devices, as well as the better security due to higher resistance against eavesdropping. In this paper we propose a wake-up receiver (WUR) which improves energy efficiency in the HBC-based wireless body area networks (WBAN) taking into account the latency requirements. The WUR continuously scans the HBC channel looking for the specified wake-up signal whilst consuming very low amount of energy. Once receiving the wake-up signal, the receiver awakes the main controller and the data radio of the WBAN node from sleep mode. In this paper, we first propose the design of the low-power WUR based on the superregenerative principle and then present the performance results measured from an implemented prototype. The measurements show that the designed WUR achieves a sensitivity of -63.8 dBm with the bit error rate (BER) of 10-3, whilst consuming only 20 μW in average while waiting for a wake-up signal, and 23 μW whilst receiving the signal.
Year
DOI
Venue
2016
10.1109/NTMS.2016.7792478
2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
Keywords
Field
DocType
superregenerative wake-up receiver,power consumption,human body communication,electric field modulation,wireless data transfer,wireless radio communication,interference,wireless device,security,eavesdropping resistance,WUR,energy efficiency,HBC-based wireless body area network,WBAN,HBC channel,BER,bit error rate,power 20 muW,power 23 muW
Wireless,Efficient energy use,Computer science,Computer network,Communication channel,Modulation,Interference (wave propagation),Sleep mode,Wireless sensor network,Bit error rate
Conference
ISBN
Citations 
PageRank 
978-1-5090-2915-0
0
0.34
References 
Authors
3
5
Name
Order
Citations
PageRank
Juha Petäjäjärvi1366.39
Konstantin Mikhaylov218431.02
Heikki Karvonen35810.16
Risto Vuohtoniemi47611.09
Jari Iinatti515033.33