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
TL;DR
SWI-FEED presents a holistic evaluation framework for Smart Water Distribution Systems by integrating application-level hydraulic simulation (EPANET/WNTR) with radio-level network simulation (NS-3) over LoRaWAN. The methodology jointly models WDS topology, hydraulic/wireless features, and optimization algorithms to assess energy and data performance in Massive-IoT scenarios, enabling leakage detection and energy-efficient gateway placement. Key contributions include an integrated SWDS evaluation workflow, dataset generation, feature representation, and scalable assessment in large networks, demonstrated with a degree-centrality gateway deployment that reduces energy consumption. The framework supports systematic comparison of deployment strategies and provides practical guidance for large-scale SWDS deployments and gateway positioning.
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.