Intelligent Monitoring System Based on ATmega Microcontrollers in Healthcare with Stress Reduce Effect

Abdiakhmetova, Z.; Temirbekova, Zh.; Turken, G.

doi:10.1007/978-981-99-6637-0_3

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…This not only enhances system responsiveness but also contributes to energy efficiency, a critical factor in the design of sustainable IoT solutions [ 48 , 49 ]. Moreover, the cost-effectiveness and accessibility of microcontrollers have spurred innovation across industries, from smart homes and healthcare to industrial automation [ 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ]. Understanding the pivotal role of microcontrollers in IoT is essential for harnessing their full potential in addressing contemporary challenges and advancing the capabilities of connected devices.…”

Section: Introductionmentioning

confidence: 99%

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks

Fay,

Corcoran,

Diamond

2023

Sensors

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This research addresses the intersection of low-power microcontroller technology and binary classification of events in the context of carbon-emission reduction. The study introduces an innovative approach leveraging microcontrollers for real-time event detection in a homogeneous hardware/firmware manner and faced with limited resources. This showcases their efficiency in processing sensor data and reducing power consumption without the need for extensive training sets. Two case studies focusing on landfill CO2 emissions and home energy usage demonstrate the feasibility and effectiveness of this approach. The findings highlight significant power savings achieved by minimizing data transmission during non-event periods (94.8–99.8%), in addition to presenting a sustainable alternative to traditional resource-intensive AI/ML platforms that comparatively draw and produce 20,000 times the amount of power and carbon emissions, respectively.

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