Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes
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Título
Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT NodesFecha de publicación
2022Editor
Institute of Electrical and Electronics Engineers; IEEEISSN
2327-4662Cita bibliográfica
A. González-Pérez and S. Casteleyn, "Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3145338.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Through the Internet of Things, autonomous sensing
devices can be deployed to regularly capture environmental and
other sensor measurements for a variety of usage scenarios.
However, for the market segment of ... [+]
Through the Internet of Things, autonomous sensing
devices can be deployed to regularly capture environmental and
other sensor measurements for a variety of usage scenarios.
However, for the market segment of stand-alone, self-sustaining
small IoT nodes, long term deployment remains problematic
due to the energy-constrained nature of these devices, requiring
frequent maintenance. This article introduces Hypnos, an open
hardware and software toolkit that aims to balance energy intake
and usage through adaptive sensing rate for low-cost Internetconnected IoT nodes. We describe the hardware architecture of
the IoT node, an open hardware board based on the Arduino
Uno form-factor packing the energy measurement circuitry, and
the associated open source software library, that interfaces with
the sensing node’s microcontroller and provides access to the
low-level energy measurements. Hypnos comes equipped with a
built-in, configurable, modified sigmoid function to regulate duty
cycle frequency based on energy intake and usage, yet developers
may also plug in their custom duty/sleep balancing function.
An experiment was set up, whereby two identical boards ran
for two months: one with the Hypnos software framework and
built-in energy balancing function to regulate sensing rate and
the other with fixed sensing rate. The experiment showed that
Hypnos is able to successfully balance energy usage and sensing
frequency within configurable energy ranges. Hereby, it increases
reliability by avoiding complete shutdown, while at the same time
optimizing performance in terms of average amount of sensor
measurements. [-]
Entidad financiadora
Ministerio de Educación, Cultura y Deporte | Gobierno de España
Código del proyecto o subvención
FPU17/03832 | RYC-2014-16606
Derechos de acceso
2327-4662 (c) 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
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info:eu-repo/semantics/openAccess
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