Abstract

Internet of Things (IoT) is a technology that consists of interconnected entities (intelligent physical objects, services and software systems) via the Internet, which serve automatically and in a coordinated way in data management to achieve greater efficiency and productivity in industrial processes and contribute to improve the quality of people life. As the use of devices grows, so do the challenges for creating secure, operable, scalable and cost-effective IoT systems. The specialized literature shows interest in the application of best practices for the construction of IoT systems and so improving the compatibility of hardware and software systems, communication problems, security and privacy. This paper searchs in indexed journals in order to identify best practices and their current components to create IoT systems. The study applies a systematic literature review method implemented in six phases (planning, primary search, preliminary selection, selection, data extraction and analysis) that allows information to be extracted consistently. We obtain 97 papers applying the method to carry out the analysis. The results show there are different proposals that use some mechanism of knowledge representation for the creation or improvement IoT systems. The paper is a theoretical basis for creating better IoT systems in organizations and reducing costs.

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