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An Open-Source, Low-Cost Framework for Real-Time IoT–WebGIS Integration in Distributed Monitoring and Automation System

  • Filippo D'Ippolito 1,*,   
  • Giovanni Garraffa 1,   
  • Marcello La Guardia 2,   
  • Antonino Sferlazza 1

Received: 14 Jan 2026 | Revised: 06 May 2026 | Accepted: 19 May 2026 | Published: 29 May 2026

Abstract

Recent advances in Internet of Things (IoT) and Geographic Information Systems (GIS) enable re-al-time monitoring and visualization of geospatial data through low-cost solutions. However, in-tegrating IoT devices with WebGIS platforms still requires complex configuration of multiple components, including hardware, databases, and geospatial services. This work presents an open-source, low-cost framework that simplifies IoT–WebGIS integration through a containerized and automated architecture. The proposed platform combines real-time sensor acquisition (tem-perature, humidity, and GNSS positioning) with cloud-based data storage and interactive WebGIS visualization. The system is fully open-source, reducing costs to hardware components only, and is designed to be easily deployable without advanced configuration skills. The framework is validated through experimental implementation, demonstrating its capability for real-time monitoring and data management. The source code is provided as supplementary material to ensure reproducibility and facilitate further developments.

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D’Ippolito, F.; Garraffa, G.; La Guardia, M.; Sferlazza, A. An Open-Source, Low-Cost Framework for Real-Time IoT–WebGIS Integration in Distributed Monitoring and Automation System. Control and Robotics Express Communications 2026, 1 (1), 3.
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