Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications

Ricardo Yauri Rodriguez; Jinmy Lezama; Milton Rios Julcapoma

doi:10.1109/EIRCON51178.2020.9254073

Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications

Ricardo Yauri Rodriguez, Jinmy Lezama, Milton Rios Julcapoma

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

Devices developed for applications in Internet of Things has led to innovation in hardware and software, in order to improve the systems for very low energy consumption and increase the autonomy of nodes. This paper presents the design, simulation and implementation of a fuzzy logic algorithm in a wireless embedded mote in order to optimize their energy consumption. The wireless transmission represents higher energy consumption in a mote, being an alternative the modification of transmission periods in order to improve its autonomy. Fuzzy logic algorithm allows to modify the period of data transmission according to battery voltage level and the solar energy harvesting. These algorithms are implemented and evaluated using software techniques based on simple mathematical operations and their relationship with the operation time for an implementation in a hardware embedded system.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728183671
DOI	https://doi.org/10.1109/EIRCON51178.2020.9254073
Estado	Publicada - 21 oct. 2020
Publicado de forma externa	Sí
Evento	2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Perú Duración: 21 oct. 2020 → 23 oct. 2020

Serie de la publicación

Nombre	Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

Conferencia

Conferencia	2020 IEEE Engineering International Research Conference, EIRCON 2020
País/Territorio	Perú
Ciudad	Lima
Período	21/10/20 → 23/10/20

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Publisher Copyright:
© 2020 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/EIRCON51178.2020.9254073

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Rodriguez, R. Y., Lezama, J., & Julcapoma, M. R. (2020). Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. En Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 Artículo 9254073 (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIRCON51178.2020.9254073

Rodriguez, Ricardo Yauri ; Lezama, Jinmy ; Julcapoma, Milton Rios. / Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020).

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title = "Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications",

abstract = "Devices developed for applications in Internet of Things has led to innovation in hardware and software, in order to improve the systems for very low energy consumption and increase the autonomy of nodes. This paper presents the design, simulation and implementation of a fuzzy logic algorithm in a wireless embedded mote in order to optimize their energy consumption. The wireless transmission represents higher energy consumption in a mote, being an alternative the modification of transmission periods in order to improve its autonomy. Fuzzy logic algorithm allows to modify the period of data transmission according to battery voltage level and the solar energy harvesting. These algorithms are implemented and evaluated using software techniques based on simple mathematical operations and their relationship with the operation time for an implementation in a hardware embedded system.",

keywords = "Embedded System, Fuzzy Logic, IoT, Wireless Sensor Network, ZigBee",

author = "Rodriguez, {Ricardo Yauri} and Jinmy Lezama and Julcapoma, {Milton Rios}",

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Rodriguez, RY, Lezama, J & Julcapoma, MR 2020, Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. En Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020., 9254073, Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Engineering International Research Conference, EIRCON 2020, Lima, Perú, 21/10/20. https://doi.org/10.1109/EIRCON51178.2020.9254073

Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. / Rodriguez, Ricardo Yauri; Lezama, Jinmy; Julcapoma, Milton Rios.
Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9254073 (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications

AU - Rodriguez, Ricardo Yauri

AU - Lezama, Jinmy

AU - Julcapoma, Milton Rios

PY - 2020/10/21

Y1 - 2020/10/21

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AB - Devices developed for applications in Internet of Things has led to innovation in hardware and software, in order to improve the systems for very low energy consumption and increase the autonomy of nodes. This paper presents the design, simulation and implementation of a fuzzy logic algorithm in a wireless embedded mote in order to optimize their energy consumption. The wireless transmission represents higher energy consumption in a mote, being an alternative the modification of transmission periods in order to improve its autonomy. Fuzzy logic algorithm allows to modify the period of data transmission according to battery voltage level and the solar energy harvesting. These algorithms are implemented and evaluated using software techniques based on simple mathematical operations and their relationship with the operation time for an implementation in a hardware embedded system.

KW - Embedded System

KW - Fuzzy Logic

KW - IoT

KW - Wireless Sensor Network

KW - ZigBee

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M3 - Contribución a la conferencia

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T3 - Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

BT - Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

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Rodriguez RY, Lezama J, Julcapoma MR. Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. En Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9254073. (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020). doi: 10.1109/EIRCON51178.2020.9254073

Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications

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