IoT‐based platform for environment data sharing in smart cities,International Journal of Communication Systems

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IoT‐based platform for environment data sharing in smart cities
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-21 , DOI: 10.1002/dac.4515
Jesús Noel Suárez Rubí ₁ , Paulo Roberto de Lira Gondim ₁

Affiliation

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.

中文翻译：

基于IoT的智慧城市环境数据共享平台

物联网设备的技术发展和传播导致了大量的环境数据，在某些情况下，这些数据是不完整的，遵循不同的表示形式，甚至具有不同的语义方法。所有这些方面以及不同物联网组件（例如，网络接口，通信协议，数据结构和数据语义）的异质性已经导致了互操作性问题，这可能会妨碍智能城市的支持决策系统的有效性，在智能城市中，大数据和数据的使用会受到影响。除了探索智慧城市数据外，还考虑了机器学习技术。本文为智能城市提出了一个基于IoT的环境平台，该平台通过使用语义Web技术和环境指标本体的定义，赋予了从数据捕获到知识提取和可视化的互操作性。该平台的组件包括IoT设备，网关，云和雾计算，这些设备用于更好地应用大数据技术。考虑了一个真实的环境质量监视用例来验证平台。针对三个通信协议（即MQTT，CoAP和REST）分析了诸如延迟和资源消耗之类的指标。CoAP适配器在延迟，RAM和CPU消耗方面提供了最佳结果。和雾计算，它们用于更好地应用大数据技术。考虑了一个真实的环境质量监视用例来验证平台。针对三个通信协议（即MQTT，CoAP和REST）分析了诸如延迟和资源消耗之类的指标。CoAP适配器在延迟，RAM和CPU消耗方面提供了最佳结果。和雾计算，它们用于更好地应用大数据技术。考虑了一个真实的环境质量监视用例来验证平台。针对三个通信协议（即MQTT，CoAP和REST）分析了诸如延迟和资源消耗之类的指标。CoAP适配器在延迟，RAM和CPU消耗方面提供了最佳结果。

更新日期：2020-07-21

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