This work presents a Cognitive Management framework for empowering the Internet of Things (IoT). This framework has the ability to dynamically adapt its behaviour, through self-management functionality, taking into account information and knowledge (obtained through machine learning) on the situation (e.g., internal status and status of environment), as well as policies (designating objectives, constraints, rules, etc.). Cognitive technologies constitute a unique and efficient approach for addressing the technological heterogeneity of the IoT and obtaining situation awareness, reliability and efficiency. The paper also presents a first indicative implementation of the proposed framework, comprising real sensors and actuators. The preliminary results of this work demonstrate high potential towards self-reconfigurable IoT. © The Author(s).
CITATION STYLE
Foteinos, V., Kelaidonis, D., Poulios, G., Stavroulaki, V., Vlacheas, P., Demestichas, P., … Moessner, K. (2013). A cognitive management framework for empowering the internet of things. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7858 LNCS, pp. 187–199). Springer Verlag. https://doi.org/10.1007/978-3-642-38082-2_16
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