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arXiv · 2404.07692

SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios

Antonino Pagano·Domenico Garlisi·Fabrizio Giuliano·Tiziana Cattai·Francesca Cuomo
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Abstract

This paper presents a comprehensive framework designed to facilitate the widespread deployment of the Internet of Things (IoT) for enhanced monitoring and optimization of Water Distribution Systems (WDSs). The framework aims to investigate the utilization of massive IoT in monitoring and optimizing WDSs, with a particular focus on leakage detection, energy consumption and wireless network performance assessment in real-world water networks. The framework integrates simulation environments at both the application level (using EPANET) and the radio level (using NS-3) within the LoRaWAN network. The paper culminates with a practical use case, alongside evaluation results concerning power consumption in a large-scale LoRaWAN network and strategies for optimal gateway positioning.

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Antonino Pagano, Domenico Garlisi, Fabrizio Giuliano, Tiziana Cattai, Francesca Cuomo. 2024-04-11. SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios. https://arxiv.org/abs/2404.07692

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