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dc.contributor.author | Arratia-Uribe, Benjamín Andrés | es_ES |
dc.contributor.author | Prades, Javier | es_ES |
dc.contributor.author | Peña-Haro, Salvador | es_ES |
dc.contributor.author | Cecilia-Canales, José María | es_ES |
dc.contributor.author | Manzoni, Pietro | es_ES |
dc.date.accessioned | 2024-07-11T12:15:16Z | |
dc.date.available | 2024-07-11T12:15:16Z | |
dc.date.issued | 2023-10-26 | es_ES |
dc.identifier.isbn | 978-1-4503-9926-5 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/205988 | |
dc.description.abstract | [EN] Effective environmental monitoring is crucial for managing global environmental challenges and providing the necessary data for Environmental Intelligence (EI). This discipline involves the integration of data from various sources to gain a comprehensive understanding of specific regions or processes. In this paper, we introduce BODOQUE, a hardware-software infrastructure to monitor water flows in ephemeral streams where the water rarely flows with great force. BODOQUE uses a low-power TinyML-based camera to detect the presence of water, activating a more complex system to measure flow only when the water flows, thereby optimizing energy consumption. This device is being deployed in the Segura basin, Murcia, Spain. This region is grappling with severe environmental issues that affect the Mar Menor, a unique saltwater lagoon. This paper focuses on the power-saving capabilities of BODOQUE, comparing the energy consumption of different edge devices running the code that measures water flow in the streams. Our goal is to determine the optimal hardware setup for the system based on our experiments, which involve performance and energy consumption tests. The results provide valuable information for future environmental monitoring systems, considering the best balance among the device's cost, performance, and energy consumption. | es_ES |
dc.description.sponsorship | This work has been supported by the European Union s Horizon 2020 program (No 101017861), the Ramon y Cajal Grant RYC2018-025580-I funded by MCIN/AEI/10.13039/501100011033 and FSE, and the Project TED2021-130890B backed by MCIN/AEI and the European Union s NextGenerationEU/ PRTR. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Association for Computing Machinery (ACM) | es_ES |
dc.relation.ispartof | MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Environmental intelligence | es_ES |
dc.subject | Edge computing | es_ES |
dc.subject | TinyML | es_ES |
dc.subject | IoT | es_ES |
dc.subject | Environmental monitoring | es_ES |
dc.subject | Ephemeral streams | es_ES |
dc.subject | Energy efficiency | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1145/3565287.3616526 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/101017861/EU/Innovative modelling approaches for predicting Socio-environMentAl evolution in highly anthRopized coasTal LAGOONs/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement///RYC2018-025580-I//AYUDA CONTRATO RAMON Y CAJAL-CECILIA CANALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-130890B-C22//DISEÑO DE UNA ESTRATEGIA DE GEMELOS DIGITALES PARA EL DESARROLLO SOSTENIBLE DE AREAS NATURALES PROTEGIDAS INTELIGENTES/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Arratia-Uribe, BA.; Prades, J.; Peña-Haro, S.; Cecilia-Canales, JM.; Manzoni, P. (2023). BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams. Association for Computing Machinery (ACM). 358-363. https://doi.org/10.1145/3565287.3616526 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 24th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2023) | es_ES |
dc.relation.conferencedate | Octubre 23-26,2023 | es_ES |
dc.relation.conferenceplace | Washington DC, USA | es_ES |
dc.relation.publisherversion | https://doi.org/10.1145/3565287.3616526 | es_ES |
dc.description.upvformatpinicio | 358 | es_ES |
dc.description.upvformatpfin | 363 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\501215 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | European Social Fund | es_ES |