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 Detalle_Publicacion

IoTRec: the IoT recommender for smart parking system

Abstract: This article proposes a General Data Protection Regulation (GDPR)-compliant Internet of Things (IoT) Recommender (IoTRec) system, developed in the framework of H2020 EU-KR WISE-IoT (Worldwide Interoperability for Semantic IoT) project, which provides the recommendations of parking spots and routes while protecting users´ privacy. It provides recommendations by exploiting the IoT technology (parking and traffic sensors). The IoTRec provides four-fold functions. First, it helps the user to find a free parking spot based on different metrics (such as the nearest or nearest trusted parking spot). Second, it recommends a route (the least crowded or the shortest route) leading to the recommended parking spot from the user´s current location. Third, it provides the real-time provision of expected availability of parking areas (comprised of parking spots organized into groups) in a user-friendly manner. Finally, it provides a GDPR-compliant implementation for operating in a privacy-aware environment. The IoTRec is integrated into the smart parking use case of the WISE-IoT project and is evaluated by the citizens of Santander, Spain through a prototype, but it can be applied to any IoT-enabled locality. The evaluation results show the citizens satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec.

 Autoría: Saleem Y., Sotres P., Fricker S., De La Torre C.L., Crespi N., Lee G.M., Minerva R., Sanchez L.,

 Fuente: IEEE Transactions on Emerging Topics in Computing, 2022, 10(1), 280-296

Editorial: Institute of Electrical and Electronic Engineers Inc.

 Año de publicación: 2022

Nº de páginas: 16

Tipo de publicación: Artículo de Revista

 DOI: 10.1109/TETC.2020.3014722

ISSN: 2168-6750

Proyecto español: RTI2018-093475-AI00

Proyecto europeo: info:eu-repo/grantAgreement/EC/H2020/723156/EU/Worldwide Interoperability for SEmantics IoT/Wise-IoT/

Url de la publicación: http://doi.org/10.1109/TETC.2020.3014722

Autores/as

SALEEM, YASIR

FRICKER, SAMUEL

CARMEN LOPEZ DE LA TORRE

NOËL CRESPI

LEE, GYU MYOUNG

MINERVA, ROBERTO