Renewable Energy with Energy-Efficient Distributed Processing for IoT

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

Abstract

In this paper, we extend a Mixed Integer Linear Programming (MILP) model to study the impact of renewable energy available represented by wind farms and solar power on the data centre over a multi-layer distributed IoT architecture supported by fog and cloud. The results show that compared to the traditional two-layer architecture in an un-capacitated design approach, energy savings in renewable energy are up to 60% with high workload services. Compared to the data centre powered by non-renewable energy, the model can achieve up to 30% energy savings.

Original languageEnglish
Title of host publicationAPWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-164
Number of pages5
ISBN (Electronic)9781665471213
DOIs
StatePublished - 2022
Event2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022 - Seoul, Korea, Republic of
Duration: 24 Aug 202225 Aug 2022

Publication series

NameAPWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium

Conference

Conference2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period24/08/2225/08/22

Keywords

  • Cloud computing
  • energy consumption
  • energy efficiency
  • fog computing
  • IoT
  • renewable energy

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