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dc.contributor.authorFrómeta Fonseca, Dayrene 
dc.contributor.authorGenovés Guzmán, Borja 
dc.contributor.authorGiustiniano, Domenico 
dc.contributor.authorWidmer, Joerg 
dc.date.accessioned2023-12-20T17:12:14Z
dc.date.available2023-12-20T17:12:14Z
dc.date.issued2023-10-10
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1773
dc.description.abstractWhile much research effort has been invested in long-range and low-power uplink communication for battery-free IoT networks, current deployments lack a scalable bi-directional communication infrastructure for data collection and processing with battery-free devices. To fill this gap, we introduce LoW-Fi, a system architecture specifically designed to meet the requirements of battery-free IoT applications. We show the suitability of LoW-Fi for deploying monitoring systems for precision agriculture indoors. This sector is revolutionizing with the installation of smart greenhouses that require the constant monitoring of ambient parameters to ensure optimal conditions for the crops growth. Our system is implemented using commercial off-the-shelf devices, and it works at the intersection of WiFi and LiFi for downlink and RF backscatter for uplink, retaining the advantages of each technology and solving their practical limitations. We evaluate LoW-Fi performance in a real greenhouse, and the experimental results show that it can achieve an uplink (downlink) range of 45 m (70 m) with 0% BER. The aggregated data rate is up to 4.5 Mb/s.es
dc.description.sponsorshipEuropean Union’s Horizon 2020 Marie Sklodowska Curie grant ENLIGHT’EM (814215)es
dc.description.sponsorshipMSCA Postdoctoral Fellowship grant RISA-VLC (101061853)es
dc.description.sponsorshipProject RISC-6G, reference TSI-063000-2021-59, granted by the Ministry of Economic Affairs and Digital Transformation and the European Union- NextGenerationEU through the UNICO-5G R&D Program of the Spanish Recovery, Transformation and Resilience Plan.es
dc.language.isoenges
dc.titleA System Architecture for Battery-free IoT Networkses
dc.typeconference objectes
dc.conference.date10-13 October 2023es
dc.conference.placeReykjavik, Icelandes
dc.conference.titleIEEE International Conference on Network Protocols*
dc.event.typeconferencees
dc.pres.typepaperes
dc.type.hasVersionAMes
dc.rights.accessRightsopen accesses
dc.page.final11es
dc.page.initial1es
dc.relation.projectNameENLIGHT'EM (European Training Network in Low-Energy Visible Light IoT Systems)es
dc.description.refereedTRUEes
dc.description.statuspubes


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