# Performance Analysis of Fog Architecture to Monitor Solar Panel for Smart Home
> Akbar N.I.M.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85171173850
Jurnal / Konferensi: 2023 International Seminar on Intelligent Technology and Its Applications Leveraging Intelligent Systems to Achieve Sustainable Development Goals Isitia 2023 Proceeding
Tahun terbit: 2023
DOI: https://doi.org/10.1109/ISITIA59021.2023.10221084
Citations: 2

## Authors
- Akbar N.I.M.

## Abstract
Solar energy becomes more popular for generating electricity in daily lives. Various technologies have utilized solar energy as their power source. One of the technologies that benefit from solar energy is the smart home system. Smart home systems utilize solar panels composed of multiple solar cells arranged in a specific configuration to generate a usable amount of electrical power. This research proposes a fog computing architecture for monitoring solar panel performance in a smart home system. Fog computing, as a distributed computing model, offers several benefits for managing and processing data in the context of the Internet of Things (IoT). We discuss the design and implementation of the proposed architecture and evaluate its effectiveness in terms of system performance and energy efficiency. The results show that proposed fog computing architecture gets better performance in terms of Response Time, CPU Load, and Latency. The results of this study demonstrate the potential of fog computing in improving the performance and reliability of smart home systems, particularly in the context of renewable energy sources such as solar panels

## Keywords
- USable
- Computer science
- Renewable energy
- Photovoltaic system
- Context (archaeology)
- Architecture
- Efficient energy use
- Solar energy
- Embedded system
- Distributed computing
- Real-time computing
- Engineering
- Electrical engineering
- Multimedia
- Paleontology
- Visual arts
- Art
- Biology

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.