@inproceedings{469b53d76bf64f7db1efbb74156fc86c,
title = "Renewable Energy with Energy-Efficient Distributed Processing for IoT",
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.",
keywords = "Cloud computing, energy consumption, energy efficiency, fog computing, IoT, renewable energy",
author = "Jiaqi Li and Hwang, {Seung Hoon}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022 ; Conference date: 24-08-2022 Through 25-08-2022",
year = "2022",
doi = "10.1109/APWCS55727.2022.9906482",
language = "English",
series = "APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "160--164",
booktitle = "APWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium",
address = "United States",
}