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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728183671
DOIs	https://doi.org/10.1109/EIRCON51178.2020.9254073
State	Published - 21 Oct 2020
Externally published	Yes
Event	2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Peru Duration: 21 Oct 2020 → 23 Oct 2020

Publication series

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

Conference

Conference	2020 IEEE Engineering International Research Conference, EIRCON 2020
Country/Territory	Peru
City	Lima
Period	21/10/20 → 23/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Embedded System
Fuzzy Logic
IoT
Wireless Sensor Network
ZigBee

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EIRCON51178.2020.9254073

Cite this

Rodriguez, R. Y., Lezama, J., & Julcapoma, M. R. (2020). Wireless Low-Energy mote Based on Fuzzy Algorithms for Environments Quality Monitoring Applications. In Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 Article 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. in 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, Peru, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lezama, Jinmy

AU - Julcapoma, Milton Rios

PY - 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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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. In 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this