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Title	Extending The Iot-Stream Model With A Taxonomy For Sensors In Sustainable Smart Cities
ID_Doc	25885
Authors	Santos R.; Eggly G.; Gutierrez J.; Chesñevar C.I.
Year	2023
Published	Sustainability (Switzerland), 15, 8
DOI	http://dx.doi.org/10.3390/su15086594
Abstract	Sustainable cities aim to have a lower environmental impact by reducing their carbon footprints as much as possible. The smart city paradigm based on the Internet of Things (IoT) is the natural approach to achieving this goal. Nevertheless, the proliferation of sensors and IoT technologies, along with the need for annotating real-time data, has promoted the need for light weight ontology-based models for IoT environments, such as IoT-Stream. The IoT-Stream model takes advantage of common knowledge sharing of the semantics while keeping queries and inferences simple. However, sensors in the IoT-Stream model are conceptualized as single entities, exluding further analysis concerning their features (energy consumption, cost, etc.) or application areas. In this article, we present a taxonomy of sensors that expands the original IoT-Stream model by facilitating the mapping of sensors/actuators and services in the context of smart cities in such a way that different applications can share information in a transparent way, avoiding unnecessary duplication of sensors and network infrastructure. © 2023 by the authors.
Author Keywords	Internet of Things; smart cities; sustainable cities

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