A Fuzzy Logic Approach for Self-managing Energy Efficiency in IoT Nodes - Internet of Things. Technology and Applications Access content directly
Conference Papers Year : 2022

A Fuzzy Logic Approach for Self-managing Energy Efficiency in IoT Nodes

Victória Melo
  • Function : Author
  • PersonId : 1355576
Gustavo Funchal
  • Function : Author
  • PersonId : 1355577
Jonas Queiroz
  • Function : Author
  • PersonId : 1355578
Paulo Leitão
  • Function : Author
  • PersonId : 928605

Abstract

The collection and analysis of data assume a crucial importance in the digital transformation era. Internet of Things (IoT) technologies allow to gather data from heterogeneous sources and make them available for data-driven systems aiming, e.g., monitoring, diagnosis, prediction and optimization. Several applications require that these IoT nodes be located remotely without connection to the electrical grid and being powered by batteries or renewable sources, thus requiring a more efficient management of the energy consumption in their operation. This paper aims to study and develop intelligent IoT nodes that embed Artificial Intelligence techniques to optimize their operation in terms of energy consumption when operating in constrained environments and powered by energy harvesting systems. For this purpose, a Fuzzy Logic system is proposed to determine the optimal operation strategy, considering the node’s current resource demands, the current battery condition and the power charge expectation. The proposed approach was implemented in IoT nodes measuring environmental parameters and placed in a university campus with Wi-Fi coverage. The achieved results show the advantage of adjusting the operation mode taking into consideration the battery level and the weather forecasts to increase the energy efficiency without compromising the IoT nodes’ functionalities and QoS.
Embargoed file
Embargoed file
0 7 12
Year Month Jours
Avant la publication
Wednesday, January 1, 2025
Embargoed file
Wednesday, January 1, 2025
Please log in to request access to the document

Dates and versions

hal-04471542 , version 1 (21-02-2024)

Licence

Attribution

Identifiers

Cite

Victória Melo, Gustavo Funchal, Jonas Queiroz, Paulo Leitão. A Fuzzy Logic Approach for Self-managing Energy Efficiency in IoT Nodes. 4th IFIP International Internet of Things Conference (IFIPIoT), Nov 2021, Virtual, Netherlands. pp.237-251, ⟨10.1007/978-3-030-96466-5_15⟩. ⟨hal-04471542⟩
18 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More