An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers.

Sensors (Basel)

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

Published: September 2023

Wake-up receivers are gaining importance in power-aware wireless sensor networks, as they significantly reduce power consumption during RF reception, enabling asynchronous communication with low latency. However, the performance of wake-up receivers still lags behind that of off-the-shelf RF transceivers. There is a growing demand for higher sensitivity, enhanced reliability, and lower latency while maintaining the lowest power consumption. In this article, our goal is to advance the performance of wake-up receivers based on off-the-shelf components and low-frequency pattern matchers. Through a systematic investigation, we proposed multiple improvements aimed at enhancing wake-up receiver performance and reliability. We introduced an improved passive envelope detector and realized a wake-up receiver for the 868 MHz band, which achieves a power consumption of 5.71 μW and latency of 9.02 ms. Our proposed wake-up receiver is capable of detecting signals down to an average power level of -61.6 dBm. These achievements represent significant advancements compared to the existing state of research on wake-up receivers based on low-frequency pattern matchers. Recent articles have not been able to attain such improved values in signal detection, power consumption, and latency.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575030PMC
http://dx.doi.org/10.3390/s23198188DOI Listing

Publication Analysis

Top Keywords

wake-up receiver
16
wake-up receivers
16
power consumption
16
low-frequency pattern
12
pattern matchers
12
performance wake-up
8
receivers based
8
wake-up
7
power
5
improved wake-up
4

Similar Publications

Assessment of sleep quality using cardiopulmonary coupling and its predictive value for delirium in ICU patients.

Sleep Med

December 2024

Department of Critical Care Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Affiliated Central Hospital of Huzhou University, Huzhou, China. Electronic address:

Objective: To assess sleep quality in intensive care unit (ICU) patients using cardiopulmonary coupling (CPC) analysis and explore its predictive value for delirium.

Method: ICU patients (n = 135) were divided into the delirium group (n = 44) and control group (n = 91) based on the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). CPC analysis was used to evaluate the sleep quality of all participants.

View Article and Find Full Text PDF

This study aimed to develop and validate a clinical risk model based on clinical factors to predict prognosis in patients with wake-up stroke (WUS) after multimodal magnetic resonance imaging combined with recombinant tissue plasminogen activator intravenous thrombolysis. The study enrolled 263 patients with WUS, who were divided into the training (n = 162) and validation cohorts (n = 101). In the training cohort, patients were stratified based on modified Rankin Scale (mRS) score at 90 days after thrombolysis, with mRS ≤ 2 indicating a good prognosis (n = 117), and mRS > 2 indicating a poor prognosis (n = 45).

View Article and Find Full Text PDF

This paper presents a passive Envelope Detector (ED) to be used for reception of OOK-modulated signals, such as in Wake-Up Receivers employed within Wireless Sensor Networks, widely used in the IoT. The main goal is implementing a temperature compensation mechanism in order to keep the passive ED input resistance roughly constant over temperature, making it a constant load for the preceding matching network and ultimately keeping the overall receiving chain sensitivity constant over temperature. The proposed ED was designed using STMicroelectronics 90 nm CMOS technology to receive 1 kbps OOK-modulated packets with a 433 MHz carrier frequency and a 0.

View Article and Find Full Text PDF

Objectives: Moderate-to-severe sleep-disordered breathing (SDB) is prevalent in patients with acute ischaemic stroke (AIS) and is associated with an increased risk of unfavourable prognosis. We aimed to develop and validate a reliable scoring system for the early screening of moderate-to-severe SDB in patients with AIS, with the objective of improving the management of those patients at risk.

Study Design: We developed and validated a nomogram model based on univariate and multivariate logistic analyses to identify moderate-to-severe SDB in AIS patients.

View Article and Find Full Text PDF

Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!