University of Oulu

Gilman, E.; Tamminen, S.; Yasmin, R.; Ristimella, E.; Peltonen, E.; Harju, M.; Lovén, L.; Riekki, J.; Pirttikangas, S. Internet of Things for Smart Spaces: A University Campus Case Study. Sensors 2020, 20, 3716,

Internet of Things for smart spaces : a university campus case study

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Author: Gilman, Ekaterina1; Tamminen, Satu2; Yasmin, Rumana3;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
2Biomimetics and Intelligent Systems Group, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
3Centre forWireless Communications, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 11.8 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2020
Publish Date: 2020-08-06


Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different application domains, each with corresponding specific characteristics. In this article, we discuss our experiences and explore the challenges of a long-term real-world Internet of Things (IoT) deployment at a University campus. We demonstrate the technical implementation and data quality issues. We conduct several studies, from data analysis to interaction with space, utilizing the developed infrastructure, and we also share our actions to open the data for education purposes and discuss their outcomes. With this article, we aim to share our experience and provide real-world lessons learned when building an open, multipurpose, publicly used smart space at a University campus.

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Series: Sensors
ISSN: 1424-8220
ISSN-E: 1424-8220
ISSN-L: 1424-8220
Volume: 20
Issue: 13
Article number: 3716
DOI: 10.3390/s20133716
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Funding: This work has been partially funded by Business Finland and several companies through VIRPA C and D. The acquisition of the hardware for this study has also been partially funded by the ERDF project A71720, ’Big Data for 5G’, governed by the HILLA program ( This research work has been financially supported by Academy of Finland UrBOT project (323630), by Academy of Finland 6Genesis Flagship (318927), by EU Horizon 2020 project CUTLER: Coastal Urban developmenT through the LEnses of Resiliency, under contract no. 770469 (, and by ERDF project CityIoT (
EU Grant Number: (770469) CUTLER - Coastal Urban developmenT through the LEnses of Resiliency
Academy of Finland Grant Number: 323630
Detailed Information: 323630 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
Copyright information: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (