Automated Energy Modeling Framework for Microcontroller-Based Edge Computing Nodes

Emanuel Oscar Lange, Jiby Mariya Jose, Shajulin Benedict, Michael Gerndt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

When IoT-enabled applications utilized edge nodes rather than cloud servers, they aimed to apply diligent energy-efficient mechanisms on edge devices. Accordingly, frameworks and approaches that monitor/model microcontrollers, including Espressif-Processor-based (ESP) edge nodes, have drawn mainstream attention among researchers working in the edge intelligence domain. The traditional approaches to measuring the energy consumption of edge nodes are either not online or prone to complex solutions. This article attempts to develop an Automated Energy Modeling Framework (AEM) for microcontroller-based edge nodes of IoT-enabled applications. The proposed approach baselines the energy consumption values; models energy consumption values of components using a random forest (RF) algorithm; and, automatically suggests the energy consumption of edge nodes in real-time – i.e., during the execution of IoT-enabled applications on edge nodes. Experiments were carried out to validate two applications’ automated energy modeling approach using Espressif’s ESP devices. The proposed mechanism would benefit energy-conscious IoT-enabled application developers who focus on minimizing the energy consumption of embedded-based edge nodes such as ESPs.

Original languageEnglish
Title of host publicationAdvanced Network Technologies and Intelligent Computing - 2nd International Conference, ANTIC 2022, Proceedings
EditorsIsaac Woungang, Sanjay Kumar Dhurandher, Kiran Kumar Pattanaik, Anshul Verma, Pradeepika Verma
PublisherSpringer Science and Business Media Deutschland GmbH
Pages422-437
Number of pages16
ISBN (Print)9783031281792
DOIs
StatePublished - 2023
Event2nd International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2022 - Varanasi, India
Duration: 22 Dec 202224 Dec 2022

Publication series

NameCommunications in Computer and Information Science
Volume1797 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2022
Country/TerritoryIndia
CityVaranasi
Period22/12/2224/12/22

Keywords

  • Automation
  • Energy consumption
  • Energy modeling
  • Framework
  • IoT

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