A 0.1nW −1µW All-Dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability

Xin, Haoming; Andraud, Martin; Baltus, Peter; Cantatore, Eugenio; Harpe, Pieter

doi:10.1109/esscirc.2018.8494321

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…This means minimizing leakage and other constant power consumption blocks (e.g., digital clock distribution) to lower the power consumption floor as much as possible (Figure 4) while still balancing with moderate-or high-quality capabilities. An example of a flexible block is a sensor + ADC block with minimized leakage and tunable sample frequency that can reach moderate/high sample frequencies for IoT applications Xin et al (2018Xin et al ( , 2019. Creating scalable flexible hardware designs is a skill of its own and requires additional design time cost for a single platform, yet as mentioned before, it can then be split across multiple applications.…”

Section: Offline Configurability Costsmentioning

confidence: 99%

“…It includes margins according to the application or task, the current usage (the same application may require several quality levels), or the dataset (different inputs of the same application and context may require different quality levels), which can be traded off against energy in context-aware adaptivity. EQ scalability methods have already been applied to numerous designs, e.g., sensor nodes (Badami et al, 2015;Cao et al, 2017;Ieong et al, 2017;Xin et al, 2018;De Roose et al, 2020), digital circuits, (Moons and Verhelst, 2014;Rizzo, 2019), and edge Artificial Intelligence (AI) hardware Peluso and Calimera (2019). It has also been identified among key factors to enable the next-generation IoT nodes and communications nodes for 5G and 6G Mahmood et al (2020); Shafique et al (2020).…”

Section: Introductionmentioning

confidence: 99%

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A Procedural Method to Predictively Assess Power-Quality Trade-Offs of Circuit-Level Adaptivity in IoT Systems

Roose¹,

Andraud²,

Verhelst³

2022

Front.Electron.

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The constant miniaturization of IoT sensor nodes requires a continuous reduction in battery sizes, leading to more stringent needs in terms of low-power operation. Over the past decades, an extremely large variety of techniques have been introduced to enable such reductions in power consumption. Many involve some form of offline reconfigurability (OfC), i.e., the ability to configure the node before deployment, or online adaptivity (OnA), i.e., the ability to also reconfigure the node during run time. Yet, the inherent design trade-offs usually lead to ad hoc OnA and OfC, which prevent assessing the varying benefits and costs each approach implies before investing in implementation on a specific node. To solve this issue, in this work, we propose a generic predictive assessment methodology that enables us to evaluate OfC and OnA globally, prior to any design. Practically, the methodology is based on optimization mathematics, to quickly and efficiently evaluate the potential benefits and costs from OnA relative to OfC. This generic methodology can, thus, determine which type of solution will consume the least amount of power, given a specific application scenario, before implementation. We applied the methodology to three adaptive IoT system studies, to demonstrate the ability of the introduced methodology, bring insights into the adaptivity mechanics, and quickly optimize the OfC–OnA adaptivity, even under scenarios with many adaptivity variables.

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Section: Offline Configurability Costsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Procedural Method to Predictively Assess Power-Quality Trade-Offs of Circuit-Level Adaptivity in IoT Systems

Roose¹,

Andraud²,

Verhelst³

2022

Front.Electron.

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“…According to (16), D ds has an amplitude reduction by a factor of C and a time shift of T shift compared to 2 • D out1 (t), which is the ideal output of a double-sided measurement. The value of C at different f in / f 0 ratios is shown in Fig.…”

Section: Double-sided Measurementmentioning

confidence: 99%

“…An optional double-sided measurement mode (similar to [15]) is also implemented in this CDC to improve performance. This paper is an extension of [16], and it is organized as follows: the versatile all-dynamic CDC is introduced and analyzed in Section II; measurement results of the proposed CDC are presented in Section III, and the conclusion is drawn in Section IV.…”

Section: Introductionmentioning

confidence: 99%

A 0.1-nW–1-$\mu$ W Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter

Xin

Andraud

Baltus

et al. 2019

IEEE J. Solid-State Circuits

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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A General Purpose Single-Slope MEMS Capacitive Sensors Interface Circuit For IoT Applications

Safwat¹,

Ismail

2020

2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)

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A 0.1nW −1µW All-Dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability

Cited by 4 publications

References 6 publications

A Procedural Method to Predictively Assess Power-Quality Trade-Offs of Circuit-Level Adaptivity in IoT Systems

A Procedural Method to Predictively Assess Power-Quality Trade-Offs of Circuit-Level Adaptivity in IoT Systems

A 0.1-nW–1-$\mu$ W Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter

A General Purpose Single-Slope MEMS Capacitive Sensors Interface Circuit For IoT Applications

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