University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes

Mevludin Blazevic, Dennis Riehle

2023

Abstract

The university of things is an academic institution full of sensors, data, and automated processes. The collection of information and states about objects and things enables diverse research and studies in the field of information systems. This paper presents a research project, where we have set up a Smart Campus infrastructure based on Internet of Things (IoT) sensors and Long Range Wide Area Network (LoRaWAN) communication technology. From our real-world deployment, as well as from academic literature, we have identified 6 opportunities and 11 challenges for the integration and use of sensor data for business processes at universities, which are shown in this paper.

Paper Citation

in Harvard Style

Blazevic M. and Riehle D. (2023). University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-643-9, SciTePress, pages 105-114. DOI: 10.5220/0011761900003482

in Bibtex Style

@conference{iotbds23,
author={Mevludin Blazevic and Dennis Riehle},
title={University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2023},
pages={105-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011761900003482},
isbn={978-989-758-643-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes
SN - 978-989-758-643-9
AU - Blazevic M.
AU - Riehle D.
PY - 2023
SP - 105
EP - 114
DO - 10.5220/0011761900003482
PB - SciTePress