English

Design and Implementation of an IoT Cluster with Raspberry Pi Powered by Solar Energy: A Theoretical Approach

Distributed, Parallel, and Cluster Computing 2025-03-06 v1 Hardware Architecture Performance Systems and Control Systems and Control

Abstract

This document presents the design and implementation of a low-power IoT server cluster, based on Raspberry Pi 3 Model B and powered by solar energy. The proposed architecture integrates Kubernetes (K3s) and Docker, providing an efficient, scalable, and high-performance computing environment. The cluster is designed to optimize energy consumption, leveraging a 200W solar panel system and a 100Ah lithium-ion battery to support continuous operation under favorable environmental conditions. Performance analysis was conducted based on theoretical inferences and data obtained from external sources, evaluating resource allocation, power consumption, and service availability. These analyses provide theoretical estimates of the system's operational feasibility under different scenarios. The results suggest that this system can serve as a viable and sustainable alternative for edge computing applications and cloud services, reducing dependence on traditional data centers. In addition to its positive impact on environmental sustainability by significantly reducing the carbon footprint, this solution also addresses economic concerns, as conventional data centers consume enormous amounts of energy, leading to increased demand on the power grid and higher operational costs.

Keywords

Cite

@article{arxiv.2503.03618,
  title  = {Design and Implementation of an IoT Cluster with Raspberry Pi Powered by Solar Energy: A Theoretical Approach},
  author = {Noel Portillo},
  journal= {arXiv preprint arXiv:2503.03618},
  year   = {2025}
}

Comments

This manuscript has been previously published on Zenodo and is available at https://zenodo.org/records/14957338. The content remains unchanged, and this submission to arXiv is intended to increase accessibility and facilitate further discussion within the research community