Bluetooth Protocol for Opportunistic Sensor Data Collection on IoT Telemetry Applications

UDC.coleccionInvestigación
UDC.departamentoEnxeñaría de Computadores
UDC.grupoInvGrupo de Tecnoloxía Electrónica e Comunicacións (GTEC)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.institutoCentroCITENI - Centro de Investigación en Tecnoloxías Navais e Industriais
UDC.issue16
UDC.journalTitleElectronics
UDC.startPage3281
UDC.volume14
dc.contributor.authorGarcía-Rivada, Pablo
dc.contributor.authorNiebla Montero, Ángel
dc.contributor.authorFraga-Lamas, Paula
dc.contributor.authorFernández-Caramés, Tiago M.
dc.date.accessioned2025-09-11T12:40:02Z
dc.date.available2025-09-11T12:40:02Z
dc.date.issued2025-08-18
dc.description.abstract[Abstract]: With the exponential growth of Internet of Things (IoT) and wearable devices for home automation and industrial applications, vast volumes of data are continuously generated, requiring efficient data collection methods. IoT devices, being resource-constrained and typically battery-dependent, require lightweight protocols that optimize resource usage and energy consumption. Among such IoT devices, this article focuses on Bluetooth-based beacons due to their low latency and the advantage of not requiring pairing for communications. Specifically, to tackle the limitations of beacons in terms of bandwidth and transmission frequency, this article proposes a protocol that modifies beacon frames to include up to three parameters per frame and that allows for making use of configurable beaconing intervals based on the specific requirements of the communications scenario. Moreover, the use of the proposed protocol leads to increased data rates for beaconing transmissions, providing a low latency and a flexible configuration that permits adjusting different parameters. The proposed solution enables end-to-end interoperability in Opportunistic Edge Computing (OEC) networks by integrating a lightweight bridge module to transparently manage BLE advertisement segments. To demonstrate the performance of the devised opportunistic protocol, it is evaluated across multiple scenarios (i.e., in a short-distance reference scenario, inside a home with diverse obstacles, inside a building, outdoors and in an industrial scenario), showing its flexibility and ability to collect substantial data volumes from heterogeneous IoT devices.
dc.description.sponsorshipThis work has been supported by Centro Mixto de Investigación UDC-NAVANTIA (IN853C 2022/01), funded by GAIN (Xunta de Galicia) and ERDF Galicia 2021–2027. In addition, this work has been supported by the grant PID2020-118857RA-100 (ORBALLO) funded by MCIN/AEI/10.13039/501100011033.
dc.description.sponsorshipXunta de Galicia; IN853C 2022/01
dc.identifier.citationGarcía-Rivada, P.; Niebla-Montero, Á.; Fraga-Lamas, P.; Fernández-Caramés, T.M. Bluetooth Protocol for Opportunistic Sensor Data Collection on IoT Telemetry Applications. Electronics 2025, 14, 3281. https://doi.org/10.3390/electronics14163281
dc.identifier.doi10.3390/electronics14163281
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/2183/45743
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118857RA-I00/ES/EDGE COMPUTING OPORTUNISTA BASADO EN DISPOSITIVOS IOT MOVILES Y DE BAJA POTENCIA/
dc.relation.urihttps://doi.org/10.3390/electronics14163281
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbeaconing
dc.subjectbluetooth 5
dc.subjectopportunistic edge computing
dc.subjectopportunistic IoT
dc.subjectopportunistic sensor data collection
dc.titleBluetooth Protocol for Opportunistic Sensor Data Collection on IoT Telemetry Applications
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication77022f52-72ae-4cf9-b290-6103a9218f5d
relation.isAuthorOfPublicationcaa923d2-cf88-405e-9025-759d06cf3799
relation.isAuthorOfPublication79dbfabd-7261-41ff-9667-2f774d5f341e
relation.isAuthorOfPublication.latestForDiscovery77022f52-72ae-4cf9-b290-6103a9218f5d

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