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VOL. 12, ISSUE 1 (2025)
Mathematical models for uncertainty control in internet of things sensors
Authors
Manuel Abelardo Alcántara Ramírez, Teodoro Moore Flores, Luzbeth Karin Navarrete Leal, Ruben Dario Mendoza Arenas
Abstract

The Internet of Things (IoT) connects devices over the internet to solve specific problems, using sensors to collect data and actuators to execute tasks. Uncertainty in data, caused by sensor inaccuracy, affects decision making. This study proposes mathematical models based on fuzzy logic to manage this uncertainty.

Five systems with six representative sensors were designed, simulated in MATLAB and developed on ESP8266/ESP32 microcontrollers using edge computing. The physical implementations demonstrated accuracy similar to the simulations, validating the use of fuzzy logic to address uncertainty. It is suggested to extend the study to sensors in critical processes and explore neurofuzzy systems for autonomous learning.
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Pages:21-25
How to cite this article:
Manuel Abelardo Alcántara Ramírez, Teodoro Moore Flores, Luzbeth Karin Navarrete Leal, Ruben Dario Mendoza Arenas "Mathematical models for uncertainty control in internet of things sensors". International Journal of Multidisciplinary Research and Development, Vol 12, Issue 1, 2025, Pages 21-25
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