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 proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728183671
DOIs
StatePublished - 21 Oct 2020
Externally publishedYes
Event2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Peru
Duration: 21 Oct 202023 Oct 2020

Publication series

NameProceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

Conference

Conference2020 IEEE Engineering International Research Conference, EIRCON 2020
CountryPeru
CityLima
Period21/10/2023/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Embedded System
  • Fuzzy Logic
  • IoT
  • Wireless Sensor Network
  • ZigBee

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