A Brief Survey on Internet of Things (IoT)

Fagroud, Fatima Zahra; Ajallouda, Lahbib; Benlahmar, El Habib; Toumi, Hicham; Zellou, Ahmed; Filali, Sanaa El

doi:10.1007/978-3-030-73882-2_31

Cited by 7 publications

(1 citation statement)

References 27 publications

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“…Analyzing real-time data plays a significant role in modeling and understanding smart cities. The proliferation of IoT technologies [25] makes it possible to integrate different services and applications in a variety of areas (energy, transportation, health, education, etc. ), where the raw data are provided by different types of sensors associated with the IoT ecosystem.…”

Section: Iot-stream: a Lightweight Ontology For Iotmentioning

confidence: 99%

Extending the IoT-Stream Model with a Taxonomy for Sensors in Sustainable Smart Cities

Santos

Eggly²,

Gutierrez

et al. 2023

Sustainability

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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.

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Section: Iot-stream: a Lightweight Ontology For Iotmentioning

confidence: 99%