Near-zero power accelerometer wakeup system

Reger, Robert; Barney, Bryson; Yen, Sean; Satches, Michael Randolph; Wiwi, Michael; Young, Andrew Ian; Delaney, Matthew A.; Griffin, Benjamin A.

doi:10.1109/icsens.2017.8234277

Cited by 24 publications

(11 citation statements)

References 3 publications

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“…A military focused work is presented in [48], where piezoelectric MEMS accelerometers tuned for a specific frequency are used to detect intruders in an area of interest. The system is composed of the sensor plus a CMOS (Complementary Metal Oxide Semiconductor) stage to generate a wake-up signal, achieving consumptions in the order of 5.4 nW, needing to supply energy to the CMOS comparator.…”

Section: Zero-power Sensorsmentioning

confidence: 99%

“…In particular, the works proposed in [40], [41], [45], and [46] provides trade-off solutions to push a greater subsection of the edge computing and embedded management into the extreme devices, with a winning balance between very long-term lifetime and software application development (considering the potential of creating reduced lightweight libraries for node management in such cases). In the meantime, works as [48]- [50] provide ultra-efficient sensing and triggering capabilities in terms of energy savings for critical deployments where the power supply is a primarily concern. Thus, the potential of these solutions can be indeed exploited by fostering a tied correlation between the distribution of extreme devices with gathering capabilities in the edge (in the form of sensing and triggering actions), so that a complementary energy-efficient computing can be put in place at the bottom of IoT.…”

Section: E Software Application Development In the Extreme Edgementioning

confidence: 99%

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The Extreme Edge at the Bottom of the Internet of Things: A Review

et al. 2019

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resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This general definition shows the power that cloud computing makes available to the Internet of Things. The basic idea is to collect information, usually big amounts of data, in the point of interest (this so-called the edge, where information is generated) and upload it to be properly processed in the cloud, where ideally permanent and enough processing resources are available. This model may work perfectly with some approaches where the energy resource is not a limitation or the time required for any decision does not impose a very fast reaction. However, the cloud computing paradigm applied directly to IoT presents a set of drawbacks regarding latency, bandwidth and storage [10] because of the huge amount of data that have to be uploaded and processed. Due to these limitations, more layers have been proposed during the last years, getting closer to the source of data.

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Section: Zero-power Sensorsmentioning

confidence: 99%

Section: E Software Application Development In the Extreme Edgementioning

confidence: 99%

The Extreme Edge at the Bottom of the Internet of Things: A Review

et al. 2019

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“…The N-ZERO program has had numerous successes across several technology areas. Focusing on the MEMS related technologies, the successes include the ability to detect, process and classify IR [11], acoustic [12] and inertial [13] spectral signatures while in some cases consuming zero stand-by power. The ability to sense and process information over long durations in a miniature, inexpensive form factor is critical for future internet-ofthings (IoT) applications in industrial and infrastructure health monitoring, agriculture and security.…”

Section: Current Investmentsmentioning

confidence: 99%

Enabling the Next Generation of Mems Technology

Chappell¹

2018

2018 Solid-State, Actuators, and Microsystems Workshop Technical Digest

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“…They offer a high level of miniaturization and a high power density [ 12 ] which can provide short wakeup times. Accordingly, numerous piezoelectric MEMS devices for (near) zero-power wakeup have been presented, e.g., [ 7 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Broadband Zero-Power Wakeup MEMS Device for Energy-Efficient Sensor Nodes

et al. 2022

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A zero-power wakeup scheme for energy-efficient sensor applications is presented in this study based on a piezoelectric MEMS energy harvester featuring wafer-level-integrated micromagnets. The proposed setup overcomes a hybrid assembly of magnets on a chip-level, a major drawback of similar existing solutions. The wakeup device can be excited at low frequencies by frequency up-conversion, both in mechanical contact and contactless methods due to magnetic force coupling, allowing various application scenarios. In a discrete circuit, a wakeup within 30–50 ms is realized in frequency up-conversion at excitation frequencies < 50 Hz. A power loss in the off state of 0.1 nW renders the scheme virtually lossless. The potential extension of battery lifetime compared to cyclical wakeup schemes is discussed for a typical wireless sensor node configuration.

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Near-zero power accelerometer wakeup system

Cited by 24 publications

References 3 publications

The Extreme Edge at the Bottom of the Internet of Things: A Review

The Extreme Edge at the Bottom of the Internet of Things: A Review

Enabling the Next Generation of Mems Technology

Broadband Zero-Power Wakeup MEMS Device for Energy-Efficient Sensor Nodes

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