IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20–22, 2017, Proceedings

Research Article

Interoperability in Internet of Things Infrastructure: Classification, Challenges, and Future Work

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  • @INPROCEEDINGS{10.1007/978-3-030-00410-1_2,
        author={Mahda Noura and Mohammed Atiquzzaman and Martin Gaedke},
        title={Interoperability in Internet of Things Infrastructure: Classification, Challenges, and Future Work},
        proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings},
        proceedings_a={IOTAAS},
        year={2018},
        month={10},
        keywords={Fragmentation Internet of Things Interoperability IoT platforms},
        doi={10.1007/978-3-030-00410-1_2}
    }
    
  • Mahda Noura
    Mohammed Atiquzzaman
    Martin Gaedke
    Year: 2018
    Interoperability in Internet of Things Infrastructure: Classification, Challenges, and Future Work
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-00410-1_2
Mahda Noura1,*, Mohammed Atiquzzaman2,*, Martin Gaedke1,*
  • 1: Technische Universität Chemnitz
  • 2: University of Oklahoma
*Contact email: mahda.noura@informatik.tu-chemnitz.de, atiq@ou.edu, martin.gaedke@informatik.tu-chemnitz.de

Abstract

The Internet of Things (IoT) is an important research area, and substantial developments for a wide range of devices and IoT platforms is evident. However, one of the critical issues in IoT is that the different proprietary IoT platforms and systems are still not interoperable; unable to talk with each other. In this paper, we survey the state-of-the-art on interoperability in IoT. First, we provide a classification of techniques and schemes looking at IoT interoperability from different perspectives. For each category, we present the approaches proposed in the papers. Second, we use the interoperability classification as a baseline to compare some of the existing IoT research projects and identify gaps in the existing solutions. Our findings will help domain experts and professionals to get an overview and categorization of existing interoperability solutions in IoT and select an appropriate approach to help increase the number of interoperable IoT products.