Processor power and energy consumption estimation techniques in IoT applications: A review

Dibal, P.Y.; Onwuka, E.N.; Zubair, Saheed Tunde; Nwankwo, E.I.; Okoh, S.A.; Salihu, Bobbo; Mustapha, H.B.

doi:10.1016/j.iot.2022.100655

Cited by 16 publications

(3 citation statements)

References 60 publications

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“…For instance, solar energy has a relatively low power density, and inside illumination has an even lower EH potential. Accordingly, to provide enough power to run IOT devices, energy harvesters must be extremely efficient [ 170 ]. Second, the size of the EH can also impact its power density.…”

Section: Challenges and Suggestionsmentioning

confidence: 99%

Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

Sarker,

Riaz,

Lipu

et al. 2024

Heliyon

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Section: Challenges and Suggestionsmentioning

confidence: 99%

Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

Sarker,

Riaz,

Lipu

et al. 2024

Heliyon

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“…Another option to reduce the power consumption of the system is software design. The power consumption of the microcontroller directly affects the power consumption of the entire Data Logger [5]. Along with designing the running time of the OffGrid system to operate efficiently in the time domain (scheduled operation), the issue of reducing code complexity rises.…”

Section: Introductionmentioning

confidence: 99%

A Low-Power Data Logger With Simple File System for Long-Term Environmental Monitoring in Remote Areas

Ďud’ák,

Gašpar,

Budjač

et al. 2023

IEEE Sensors J.

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This research addresses the long-term measurement of environmental data in geographically remote areas and an energy-optimized method of storing data on a storage medium. For this purpose, we have developed our measurement module ADL -Advanced Data Logger. In terms of connectivity, the module operates in 3 modes: offline -when measured data is primarily stored on the storage medium; IoT ready -measured data is stored on the storage medium and sent to the remote server in defined batches; online mode -when measured data is preferably sent to the remote server immediately after measurement. The design aims to minimize the module's power consumption so that the autonomous operating time is close to one year. As part of the design, the simpleFS software module is designed for the role of a simple file system optimized to minimize I/O operations. Its other feature in data storage is the automatic normalization of the data transmitted from the attached sensors. The last part of the design is the AdlReader software solution, used to configure the hardware (HW) module and to retrieve the measured data files. We verified the correct operation of the ADL module along with nine sensors built in a vertical soil temperature profile probe in experimental installation and operation for two months. According to the requirements for our solution, the expected operation time of the ADL module is 9 -12 months.

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“…The internet of things (IoT) is referring to the collection of all those devices that have the ability to connect to the internet and collect and share data [1]. RFID technology has matured to the point where it can now be used as part of the physical layer of the IoT for a variety of applicati [2] ons using low-cost, energyefficient sensors [3].…”

Section: Introductionmentioning

confidence: 99%

A 1.8 V, 10 mA low dropout voltage regulator for IoT application in 90 nm CMOS technology

EL Mouzouade,

EL Khadiri,

Tahiri

2023

IJPEDS

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A complementary metal-oxide-semiconductor CMOS low dropout voltage regulator (LDO) design flow using 90 nm CMOS technology is described and simulated in this paper. The circuit consists of an analogue LDO with using PMOS pass device, an error amplifier, a bandgap voltage, a biasing circuit, a feedback resistive network sized to have the desired closed loop gain. This LDO was designed to maintain stable voltage at 1.8 V and 10 mA of current output in low resistive load. The LDO regulator achieves 105 uA quiescent current, -47 PSRR@13 KHz noise frequency. The final design occupies approximately 0.05 mm<sup>2</sup>. The results were satisfying and make the designed circuit suitable for IoT application.

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Processor power and energy consumption estimation techniques in IoT applications: A review

Cited by 16 publications

References 60 publications

Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

A Low-Power Data Logger With Simple File System for Long-Term Environmental Monitoring in Remote Areas

A 1.8 V, 10 mA low dropout voltage regulator for IoT application in 90 nm CMOS technology

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