Saleem, Y, Sotres, P, Fricker, S, Lopez de la Torre, C, Crespi, N, Lee, GM, Minerva, R and Sanchez, L (2020) IoTRec: The IoT Recommender for Smart Parking System. IEEE Transactions on Emerging Topics in Computing. ISSN 2168-6750

Preview

Text IoTRec The IoT Recommender for Smart Parking System to the repository.pdf - Accepted Version Download (6MB) | Preview

Abstract

This paper 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. Firstly, it helps the user to find a free parking spot based on different metrics (such as the nearest or nearest trusted parking spot). Secondly, it recommends a route (the least crowded or the shortest route) leading to the recommended parking spot from the user’s current location. Thirdly, 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.

Item Type:	Article
Additional Information:	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	0805 Distributed Computing, 0806 Information Systems, 0906 Electrical and Electronic Engineering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Divisions:	Computer Science & Mathematics
Publisher:	Institute of Electrical and Electronics Engineers
Date Deposited:	04 Aug 2020 10:47
Last Modified:	04 Sep 2021 06:52
DOI or ID number:	10.1109/TETC.2020.3014722
URI:	https://researchonline.ljmu.ac.uk/id/eprint/13444

View Item