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Sensors 2014, 14(10), 19200-19228; doi:10.3390/s141019200

Distributed Service-Based Approach for Sensor Data Fusion in IoT Environments

Software Engineering Department, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, Granada 18071, Spain
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Received: 14 July 2014 / Revised: 23 September 2014 / Accepted: 25 September 2014 / Published: 15 October 2014
(This article belongs to the Special Issue Wireless Sensor Networks and the Internet of Things)
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Abstract

The Internet of Things (IoT) enables the communication among smart objects promoting the pervasive presence around us of a variety of things or objects that are able to interact and cooperate jointly to reach common goals. IoT objects can obtain data from their context, such as the home, office, industry or body. These data can be combined to obtain new and more complex information applying data fusion processes. However, to apply data fusion algorithms in IoT environments, the full system must deal with distributed nodes, decentralized communication and support scalability and nodes dynamicity, among others restrictions. In this paper, a novel method to manage data acquisition and fusion based on a distributed service composition model is presented, improving the data treatment in IoT pervasive environments. View Full-Text
Keywords: SOA; service composition; data fusion; Internet of Things; pervasive computing SOA; service composition; data fusion; Internet of Things; pervasive computing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rodríguez-Valenzuela, S.; Holgado-Terriza, J.A.; Gutiérrez-Guerrero, J.M.; Muros-Cobos, J.L. Distributed Service-Based Approach for Sensor Data Fusion in IoT Environments. Sensors 2014, 14, 19200-19228.

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