SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866917637166989312 |
|---|---|
| author | Pagano, Antonino Garlisi, Domenico Giuliano, Fabrizio Cattai, Tiziana Cuomo, Francesca |
| author_facet | Pagano, Antonino Garlisi, Domenico Giuliano, Fabrizio Cattai, Tiziana Cuomo, Francesca |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_07692 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios Pagano, Antonino Garlisi, Domenico Giuliano, Fabrizio Cattai, Tiziana Cuomo, Francesca Networking and Internet Architecture Systems and Control 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. |
| title | SWI-FEED: Smart Water IoT Framework for Evaluation of Energy and Data in Massive Scenarios |
| topic | Networking and Internet Architecture Systems and Control |
| url | https://arxiv.org/abs/2404.07692 |