TY - JOUR
T1 - IoTRec
T2 - The IoT Recommender for Smart Parking System
AU - Saleem, Yasir
AU - Sotres, Pablo
AU - Fricker, Samuel
AU - Torre, Carmen Lopez de la
AU - Crespi, Noel
AU - Lee, Gyu Myoung
AU - Minerva, Roberto
AU - Sanchez, Luis
N1 - Funding Information:
This research was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723156, the Swiss State Secretariat for Education, Research and Innovation (SERI) and the South-Korean Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MISP) (No. R7115-16-0002). This research was partially funded by the Spanish Government (MINECO) under Grant Agreement No. RTI2018-093475-AI00, project FIERCE (Future Internet Enabled Resilient smart CitiEs). This work was completed while Yasir Saleem was with Telecom SudParis, InstitutMines-Telecom, Institut Polytechnique de Paris, 91011, Evry, France.
Publisher Copyright:
© 2013 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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 citizen's satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec.
AB - 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 citizen's satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec.
KW - GDPR
KW - Internet of Things (IoT)
KW - parking statistics
KW - recommendations
KW - smart parking
UR - http://www.scopus.com/inward/record.url?scp=85099554640&partnerID=8YFLogxK
U2 - 10.1109/TETC.2020.3014722
DO - 10.1109/TETC.2020.3014722
M3 - Article
VL - 10
SP - 280
EP - 296
JO - IEEE Transactions on Emerging Topics in Computing
JF - IEEE Transactions on Emerging Topics in Computing
IS - 1
ER -