Best Poster Award at the IoTBDS 2023 Conference
Our research group presented two papers at the 8th International Conference on Internet of Things, Big Data and Security held in Prague, Czech Republic, from April 21st to 23rd. Mevludin Blazevic, in collaboration with Dennis Riehle, presented a poster on the concept of University of Things, exploring opportunities and challenges for business processes of a smart campus using IoT sensors and applications. The paper received significant attention during the poster session and led to Mevludin Blazevic and Dennis Riehle receiving the Best Poster Award for their publication. The second contribution was presented by Anna Wolters. This paper covers a comparison of databases systems for efficiently storing IoT data and is co-authored by Mevludin Blazevic and Dennis Riehle. Both papers are now published in the conference proceedings and available for download. We enjoyed participating in the conference and would like to thank the organizers for hosting the conference.
Paper Abstracts
University of Things: Opportunities and Challenges for a Smart Campus Environment based on IoT Sensors and Business Processes
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.
Designing Virtual Conference Venues Through Integration of Game Engine Technologies and Event Management Information Systems
The Internet of Things (IoT) connects millions of devices, leading to the production of vast amounts of data. For such data to be of value, efficient and effective data storage is of utmost importance. In this paper, we present a comparison of on-premise database management systems in the context of the IoT. We perform a market analysis on relational, Not Only SQL (NoSQL), and time-series database systems as well as a requirement analysis in order to comprehensively compare database systems based on functional and non-functional criteria. After an initial selection, we compare MySQL, PostgreSQL, Cassandra, MongoDB, InfluxDB, and QuestDB. As a result, we provide a best practice guide to support the decision-making on which database to select for an IoT use case.