While there are currently multiple commercial IoT and IIoT platforms available in the market (e.g., Siemens MindSphere, Microsoft Azure, PTC ThingWorx, Amazon AWS), the key problem in using these platforms is lack of interoperability and flexibility in data exchange among these platforms. Each of these platforms promotes its own IoT infrastructure, and they have their proprietary protocols and interfaces, with incompatible standards, formats, and semantics that create closed ecosystems. To address above mentioned interoperability issue, we proposed an IoT interoperability framework to support different layers of heterogeneous sensors, edge devices, on-premise platform and even cloud platforms, so as to unlock data value.
CITATION STYLE
Qingsong, W., Yechao, Y., Sifei, L., Samsudin, J., Kanagavelu, R., Haibin, Z., & Farbiz, F. (2022). An Interoperable Framework for Heterogeneous IoT infrastructure to Unlock Data Value. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13533 LNCS, pp. 69–81). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-20936-9_6
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