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A semantics-based approach to multi-source heterogeneous information fusion in the internet of things

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Abstract

Multi-source heterogeneous information fusion in the Internet of Things (IoT) is a type of information processing that attempts to provide a comprehensive, timely and accurate perception and feedback relative to physical things. Traditional multi-sensor data fusion can deal with the same type of data effectively. However, as new characteristics emerge in the IoT, interoperable service-oriented technologies are required to share real-world data among heterogeneous devices to integrate and fuse the multi-source heterogeneous IoT data. To address these issues, an architecture that can provide guidance for the development of IoT information fusion is required. We compare features of IoT data and information with an existing wireless sensor network and the Internet, which, to the best of our knowledge, is the first comparison of this kind. Then, we design a framework for multi-source heterogeneous information fusion in the IoT and use an experimental simulation platform to build an environmental monitoring system to assess the framework.

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Acknowledgments

This work was funded by European Framework Program (FP7) under Grant No. FP7-PEOPLE-2011-IRSES, National Natural Science Foundation of China under Grant No. 61073009 & 61103197, National High Tech R&D Program 863 of China under Grant No. 2011AA010101, National Sci-Tech Support Plan of China under Grant No. 2014BAH02F03, National Sci-Tech Major Projects of China under Grant No. SinoProbe-09-01-03 & 2012ZX01039-004-04-3, Key Sci-Tech Program of Jilin Province of China under Grant No. 2011ZDGG007 & 20150204035GX, and Fundamental Research Funds for Central Universities of China under Grant No. JCKY-QKJC46 & 2412015KJ005.

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Feng Wang, Liang Hu, Jiejun Hu & Kuo Zhao

  2. College of Information Science and Technology, Bohai University, Jinzhou, 121000, China

    Jin Zhou

Authors
  1. Feng Wang
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  2. Liang Hu
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  3. Jin Zhou
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  4. Jiejun Hu
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  5. Kuo Zhao
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Correspondence to Kuo Zhao.

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Conflict of interest

We declare that we have no financial and personal relations with people or organizations that can inappropriately influence our work. There are no professional or other personal interests of any kind related to any product, service and/or company that could be construed as influencing the position presented or the review of the manuscript entitled, “A Semantics-based Approach to Multi-source Heterogeneous Information Fusion in the Internet of Things”.

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Communicated by V. Loia.

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Wang, F., Hu, L., Zhou, J. et al. A semantics-based approach to multi-source heterogeneous information fusion in the internet of things. Soft Comput 21, 2005–2013 (2017). https://doi.org/10.1007/s00500-015-1899-7

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