Evaluation of a wireless low-energy mote with fuzzy algorithms and neural networks for remote environmental monitoring

Ricardo Yauri, Jinmi Lezama, Milton Rios

Research output: Contribution to journalArticlepeer-review

Abstract

The devices developed for applications in the internet of things have evolved technologically in the improvement of hardware and software components, in the area of optimization of the life time and to increase the capacity to save energy. This paper shows the development of a fuzzy logic algorithm and a power propagation neural network algorithm in a wireless mote (IoT end device). The fuzzy algorithm changes the transmission frequency according to the battery voltage and solar cell voltage. Moreover, the implementation of algorithms based on neural networks, implied a challenge in the evaluation and study of the energy commitment for the implementation of the algorithm, memory space optimization and low energy consumption.

Original languageEnglish
Pages (from-to)717-724
Number of pages8
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume23
Issue number2
DOIs
StatePublished - Aug 2021
Externally publishedYes

Bibliographical note

Funding Information:
This research was conducted in laboratories INICTEL-UNI and as part of the Doctorate studies in Systems Engineering and Informatics at the Faculty of Systems Engineering and Informatics of the National University of San Marcos (UNMSM).

Publisher Copyright:
© 2021 Institute of Advanced Engineering and Science. All rights reserved.

Keywords

  • Embedded system
  • Fuzzy logic
  • Internet of things
  • Neural network
  • Wireless sensor

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