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Sensors 2017, 17(5), 977;

Distributed Data Service for Data Management in Internet of Things Middleware

Cybersecurity INCT Unit 6, Decision Technologies Laboratory—LATITUDE, Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília-DF, CEP 70910-900, Brazil
Department of Computer Science, University of Brasília (UnB), Brasília-DF, CEP 70910-900, Brazil
Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases, 9, Ciudad Universitaria, Madrid 28040, Spain
Department of Convergence Security, Sungshin Women’s University, 249-1 Dongseon-Dong 3-ga, Seoul 136-742, Korea
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Muhammad Imran, Athanasios V. Vasilakos, Thaier Hayajneh and Neal N. Xiong
Received: 17 December 2016 / Revised: 8 April 2017 / Accepted: 21 April 2017 / Published: 27 April 2017
(This article belongs to the Special Issue Topology Control in Emerging Sensor Networks)
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The development of the Internet of Things (IoT) is closely related to a considerable increase in the number and variety of devices connected to the Internet. Sensors have become a regular component of our environment, as well as smart phones and other devices that continuously collect data about our lives even without our intervention. With such connected devices, a broad range of applications has been developed and deployed, including those dealing with massive volumes of data. In this paper, we introduce a Distributed Data Service (DDS) to collect and process data for IoT environments. One central goal of this DDS is to enable multiple and distinct IoT middleware systems to share common data services from a loosely-coupled provider. In this context, we propose a new specification of functionalities for a DDS and the conception of the corresponding techniques for collecting, filtering and storing data conveniently and efficiently in this environment. Another contribution is a data aggregation component that is proposed to support efficient real-time data querying. To validate its data collecting and querying functionalities and performance, the proposed DDS is evaluated in two case studies regarding a simulated smart home system, the first case devoted to evaluating data collection and aggregation when the DDS is interacting with the UIoT middleware, and the second aimed at comparing the DDS data collection with this same functionality implemented within the Kaa middleware. View Full-Text
Keywords: Internet of Things (IoT); IoT middleware; data collection; data aggregation; real time; NoSQL Internet of Things (IoT); IoT middleware; data collection; data aggregation; real time; NoSQL

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Cruz Huacarpuma, R.; de Sousa Junior, R.T.; de Holanda, M.T.; de Oliveira Albuquerque, R.; García Villalba, L.J.; Kim, T.-H. Distributed Data Service for Data Management in Internet of Things Middleware. Sensors 2017, 17, 977.

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