IoT-based platform for environment data sharing in smart cities
Abstract
Summary The technological development and dissemination of IoT equipment have led to large volumes of environmental data which, in some cases, are incomplete, follow different formats of representation, and even have different semantic approaches. All such aspects and the heterogeneity of different IoT components (e.g., network interfaces, communication protocols, data structure, and data semantics) have caused interoperability issues which might hamper the effectiveness of support decision systems for smart cities, where the use of big data and machine learning techniques has been considered, in addition to the exploration of smart city data. This article proposes an environment IoT‐based platform for smart cities that grants interoperability from data capture to knowledge extraction and visualization through the use of Semantic Web Technologies and the definition of an ontology for environment indicators. The components of the platform include IoT devices, gateways, cloud, and fog computing, which are used for a better application of big data techniques. A real environment quality monitoring use case was considered for the validation of the platform. Metrics, such as latency and resources consumption, were analyzed for three communication protocols, namely, MQTT, CoAP, and REST. CoAP adapter provided the best results regarding latency, RAM, and CPU consumption.
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The application of semantic technology in smart city innovations confirms its suitability for dealing with interoperability issues and the modelling/annotation of sensor readings.
“Furthermore, the outstanding success of the application of semantic technology in the context of smart city innovations confirms its suitability for dealing with interoperability issues [23][24][25] and the modelling/annotation [26,27] of sensor readings.”
From Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems (2025) · cites this paper as [24]
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- Authors
- Rubí, J. N. S., & de Lira Gondim, P. R.
- Affiliations
- Faculdade de Tecnologia Campus Universitário Darcy Ribeiro Asa Norte Brasilia, DF Brazil
- Venue
- International Journal of Communication Systems
- Publisher
- Wiley
- Published
- 2020-07-21
- Volume
- 34
- Issue
- 2
- ISSN
- 1074-5351 (ISSN-L)
- 1099-1131
- OpenAlex
- W3045081801
- Cited by
- 36
- References
- 28
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 4 · 2023: 11 · 2022: 8 · 2021: 3 · 2020: 2
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Communication Systems (publishedVersion)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Scholarship through the PPGEE Program of the Unive)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- Internet of Things, smart cities, environmental data sharing, interoperability, semantic web, ontology (information science), fog computing, cloud computing, IoT gateway, environmental quality monitoring, MQTT, CoAP, rest, latency, resource consumption
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