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BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams

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BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams

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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


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