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Renewable Energy with Energy-Efficient Distributed Processing for IoT
- Authors
- Li, Jiaqi; Hwang, Seung-Hoon
- Issue Date
- 2022
- Publisher
- IEEE
- Keywords
- Cloud computing; energy consumption; energy efficiency; fog computing; IoT; renewable energy
- Citation
- 2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), pp 160 - 164
- Pages
- 5
- Indexed
- FOREIGN
- Journal Title
- 2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)
- Start Page
- 160
- End Page
- 164
- 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. © 2022 IEEE.
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Related Researcher
- Hwang, Seung Hoon
- College of Engineering (Department of Electronics and Electrical Engineering)