- AutorIn
- Lydia Schott
- Robert Fromm
- Ghada Bouattour
- Olfa Kanoun
- Faouzi Derbel
- Titel
- Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-859353
- Quellenangabe
- Sensors
Erscheinungsjahr: 2022
Jahrgang: 22
Artikelnummer: 2169 - Erstveröffentlichung
- 2022
- Abstract (EN)
- 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 wakeup 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 developedWuRx operates in the 868MHz 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.
- Andere Ausgabe
- Link zur Erstveröffentlichung
Link: https://doi.org/10.3390/s22062169 - Freie Schlagwörter (EN)
- wake-up receiver (WuRx); operational amplifier; transistor; ultra low-power design; passive RF architecture; envelope detector; Schottky diode; performance
- Klassifikation (DDC)
- 000
- Verlag
- MDPI, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-859353
- Veröffentlichungsdatum Qucosa
- 09.06.2023
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- CC BY 4.0