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      Collaborative Working Architecture for IoT-Based Applications†

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          Abstract

          The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.

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          Most cited references67

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          Integration of Cloud computing and Internet of Things: A survey

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            Security, privacy and trust in Internet of Things: The road ahead

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              Secure integration of IoT and Cloud Computing

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                23 May 2018
                June 2018
                : 18
                : 6
                : 1676
                Affiliations
                [1 ]Department of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, Spain; teresa@ 123456dtic.ua.es (M.T.S.-P.); dgil@ 123456dtic.ua.es (D.G.)
                [2 ]Department of Intelligent Cybernetic Systems, NRNU MEPhI, 115409 Moscow, Russia; magnus@ 123456magnusjohnsson.se
                [3 ]Department of Philosophy, Lund University Cognitive Science, 22362 Lund, Sweden
                [4 ]Magnus Johnsson AI Research AB, 24334 Höör, Sweden
                Author notes
                [* ]Correspondence: hmora@ 123456ua.es ; Tel.: +34-96590-3400
                [†]

                This paper is an extended version of our paper published in Mora, H.; Signes-Pont, M.T.; Gil-Méndez, D.; Ferrández-Pastor, F.J. A Proposal for a Distributed Computational Framework in IoT Context. In proceedings of the conference on the Ubiquitous Computing and Ambient Intelligence. Springer: Cham, Switzerland, 2017.

                Author information
                https://orcid.org/0000-0002-8591-0710
                http://orcid.org/0000-0003-0791-8298
                https://orcid.org/0000-0002-4409-1413
                Article
                sensors-18-01676
                10.3390/s18061676
                6022002
                29882868
                07292c6c-0b05-48b3-b1f0-a34d1d0981d4
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 April 2018
                : 21 May 2018
                Categories
                Article

                Biomedical engineering
                embedded systems,internet of things,mobile cloud computing,computer modelling,sensor processing modeling

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