Analysis of the computational costs of an evolutionary fuzzy rule-based internet-of-things energy management approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10256407" target="_blank" >RIV/61989100:27240/25:10256407 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1570870524003263" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1570870524003263</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.adhoc.2024.103715" target="_blank" >10.1016/j.adhoc.2024.103715</a>

Result language

angličtina

Original language name

Analysis of the computational costs of an evolutionary fuzzy rule-based internet-of-things energy management approach

Original language description

This study presents an in-depth analysis of the computational costs associated with the application of an Evolutionary Fuzzy Rule-based (EFR) energy management system for Internet of Things (IoT) devices. In energy-harvesting IoT nodes, energy management is critical for sustaining long-term operation. The proposed EFR approach integrates fuzzy logic and genetic programming to autonomously control energy consumption based on available resources. The study evaluates the system&apos;s computational performance, particularly focusing on processing time, RAM and flash memory usage across various hardware configurations. Different compiler optimization levels and floating-point unit (FPU) settings were also explored, comparing standard and pre-compiled algorithms. The results reveal computational times ranging from 2.43 to 5.23 ms, RAM usage peaking at 6.23 kB, and flash memory consumption between 19 kB and 32 kB. A significant reduction in computational overhead is achieved with optimized compiler settings and hardware FPU, highlighting the feasibility of deploying EFR-based energy management systems in low-power, resource-constrained IoT environments. The findings demonstrate the trade-offs between computational efficiency and energy management, with particular benefits observed in scenarios requiring real-time control in remote and energy-limited environments. © 2024 The Authors

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ad Hoc Networks

ISSN

1570-8705

e-ISSN

1570-8713

Volume of the periodical

168

Issue of the periodical within the volume

103715

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

nestránkováno

UT code for WoS article

001396094700001

EID of the result in the Scopus database

2-s2.0-85209989192