Low-power sensor node with addressable wake-up on-demand capability

Gamm, Gerd Ulrich; Kostić, Miloš; Sippel, Matthias; Reindl, Leonhard M.

doi:10.1504/ijsnet.2012.045038

Cited by 34 publications

(34 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The low-frequency wake-up signal is modulated onto the high-frequency carrier signal and demodulated passively by the envelope detector. Figure 2 schematically shows a wake-up signal generated by means of on-off-keying modulation of the high-frequency carrier signal [34]. In the case of ultra-low power wake-up receivers, the envelope detector often merely consists of diodes and capacitors to ensure its energy efficiency [35][36][37].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

“…The wireless nodes used in this work are based on the sensor nodes introduced in [34,39,40]. The microcontroller utilized on the boards is a 32-bit EFM32G222F128 manufactured by SiliconLabs running at 14 MHz.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

“…It correlates the incoming signal to a pre-configured address and creates an interrupt if send and stored addresses match. In combination with the matching network and envelope detector, the wake-up receiver has a sensitivity around −51 dBm [34,39]. Transmitting at 12 dBm, the wake-up range of this wake-up receiver could be determined by [39] as around 45 m.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

“…To increase the speed, the MCU is running at 28 An important parameter to consider is the lifetime of the GNSS sensor node, that is the time the node can autonomously operate before it dies due to low energy. As presented in [34], the lifetime is connected to the node's battery capacity and to the times where the node is actively logging (t log ) or communicating (t com ) as the sensor node requires most energy during these periods. During idle times (t idle ), the node requires only marginal power in comparison to active times.…”

Section: Gnss Sensor Nodementioning

confidence: 99%

See 3 more Smart Citations

A Wireless Sensor Network Using GNSS Receivers for a Short-Term Assessment of the Modal Properties of the Neckartal Bridge

Kumberg

Schneid²,

Reindl

2017

Applied Sciences

View full text Add to dashboard Cite

Abstract:In this article, we present a novel structural health monitoring system based on a wireless sensor network for GNSS (global navigation satellite system) receivers. The GNSS network presented here consists of three GNSS rover stations and one base station that are deployed at the Neckartal bridge on the Autobahn A81 in southwest Germany. The newly-developed GNSS sensor nodes support satellite data logging up to a sampling rate of 20 Hz. Due to the ultra-low-power consumption achieved by the wake-up receiver during inactive periods, the nodes offer a lifetime from 20 to almost 200 days, without energy harvesting and depending on the satellite data logging period. By performing differential post-processing, precise positioning information in the millimeter range could be achieved. Using the GNSS sensors, we determined resonant frequencies at 0.33 Hz and 1.31 Hz, mainly in the lateral direction of the bridge. To verify the GNSS results, we placed an accelerometer on the bridge. The frequencies detected by the acceleration sensor correspond well to the frequencies found by the GNSS sensors, although the accelerometer measured further higher frequencies as it is probably more sensitive to small amplitudes.

show abstract

Section: Wireless Sensor Networkmentioning

confidence: 99%

Section: Wireless Sensor Networkmentioning

confidence: 99%

Section: Wireless Sensor Networkmentioning

confidence: 99%

Section: Gnss Sensor Nodementioning

confidence: 99%

See 2 more Smart Citations

A Wireless Sensor Network Using GNSS Receivers for a Short-Term Assessment of the Modal Properties of the Neckartal Bridge

Kumberg

Schneid²,

Reindl

2017

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…This method does not need any infrastructure, like an access point similar to WiFi, and it is based on the acoustic wave signals generated by the smartphone, where these acoustic waves form the wake-up signal are required to wake-up the electronic device. The concept of a wake-up receiver on a sensor node is not new; however, most of the approaches use radio frequencies (RF) for the wake-up signal [4][5][6][7][8]. Using different approaches from RF to wake up the nodes is somehow uncommon.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Wake-Up Receivers for Home Automation Control Applications

et al. 2016

View full text Add to dashboard Cite

Automated home applications are to ease the use of technology and devices around the house. Most of the electronic devices, like shutters or entertainment products (Hifi, TV and even WiFi), are constantly in a standby mode, where they consume a considerable amount of energy. The standby mode is necessary to react to commands triggered by the user, but the time the device spends in a standby mode is considered long. In our work, we present a receiver that is attached to home appliances that allows the devices to be activated while they are completely turned off in order to reduce the energy consumed in the standby mode. The receiver contains a low power wake-up module that reacts to an addressable acoustic 20-kHz sound signal that controls home devices that are connected to it. The acoustic wake-up signal can be sent by any kind of speaker that is available in commercial smartphones. The smartphones will operate as transmitters to the signals. Our wake-up receiver consists of two parts: a low power passive circuit connected to a wake-up chip microcontroller and an active micro-electromechanical system (MEMS) microphone that receives the acoustic signal. A duty cycle is required to reduce the power consumption of the receiver, because the signal reception occurs when the microphone is active. The current consumption was measured to be 15 µA in sleep mode and 140 µA in active mode. An average wake-up range of 10 m using a smartphone as a sender was achieved.

show abstract

Nonintrusive tracing in the Internet

Olteanu

Xiao

Liu

et al. 2012

Security Comm Networks

View full text Add to dashboard Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. We also study another mechanism for tracing intruders in the Internet based on a timestamping approach which passively monitors flows between source and destination pairs. Given a potentially suspicious source, we identify its true destination. We compute the error probability of our algorithm 2 and show that its value decreases exponentially as the observation time increases. Our simulation results show that our approach performs well. Permanent repository link

show abstract

Low-power sensor node with addressable wake-up on-demand capability

Cited by 34 publications

References 9 publications

A Wireless Sensor Network Using GNSS Receivers for a Short-Term Assessment of the Modal Properties of the Neckartal Bridge

A Wireless Sensor Network Using GNSS Receivers for a Short-Term Assessment of the Modal Properties of the Neckartal Bridge

Acoustic Wake-Up Receivers for Home Automation Control Applications

Nonintrusive tracing in the Internet

Contact Info

Product

Resources

About