Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers.

Schottky diode envelope detector operational amplifier passive RF architecture performance transistor ultra low-power design wake-up receiver (WuRx)

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Mar 2022
Historique:
received: 07 01 2022
revised: 04 03 2022
accepted: 07 03 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 27 3 2022
Statut: epublish

Résumé

With the introduction of Internet of Things (IoT) technology in several sectors, wireless, reliable, and energy-saving communication in distributed sensor networks are more important than ever. Thereby, wake-up technologies are becoming increasingly important as they significantly contribute to reducing the energy consumption of wireless sensor nodes. In an indoor environment, the use of wireless sensors, in general, is more challenging due to signal fading and reflections and needs, therefore, to be critically investigated. This paper discusses the performance analysis of wake-up receiver (WuRx) architectures based on two low frequency (LF) amplifier approaches with regard to sensitivity, power consumption, and package error rate (PER). Factors that affect systems were compared and analyzed by analytical modeling, simulation results, and experimental studies with both architectures. The developed WuRx operates in the 868 MHz band using on-off-keying (OOK) signals while supporting address detection to wake up only the targeted network node. By using an indoor setup, the signal strength and PER of received signal strength indicator (RSSI) in different rooms and distances were determined to build a wireless sensor network. The results show a wake-up packets (WuPts) detection probability of about 90% for an interior distance of up to 34 m.

Identifiants

pubmed: 35336342
pii: s22062169
doi: 10.3390/s22062169
pmc: PMC8954903
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2013 Dec 19;14(1):22-51
pubmed: 24451452
Sensors (Basel). 2017 Mar 12;17(3):
pubmed: 28287495
Sensors (Basel). 2017 Dec 29;18(1):
pubmed: 29286345
Sensors (Basel). 2021 Jan 14;21(2):
pubmed: 33466681

Auteurs

Lydia Schott (L)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Robert Fromm (R)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Ghada Bouattour (G)

Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany.

Olfa Kanoun (O)

Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany.

Faouzi Derbel (F)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Classifications MeSH