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Article

Self-Adaptive Framework Based on MAPE Loop for Internet of Things †

1
Department of Computer and Information Security, Sejong University, Seoul 05006, Korea
2
Department of Data Science, Sejong University, Seoul 05006, Korea
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Lee, E.; Kim, Y.G.; Seo, Y.D.; Baik, D.K. Self-Adaptive Framework with Game Theoretic Decision Making for Internet of Things. In Proceedings of the TENCON 2018–2018 IEEE Region 10 Conference, Jeju, Korea, 28–31 October, 2018, pp. 2092–2097.
Sensors 2019, 19(13), 2996; https://doi.org/10.3390/s19132996
Received: 16 May 2019 / Revised: 3 July 2019 / Accepted: 5 July 2019 / Published: 7 July 2019
(This article belongs to the Special Issue Selected Papers from TENCON 2018)
The Internet of Things (IoT) connects a wide range of objects and the types of environments in which IoT can be deployed dynamically change. Therefore, these environments can be modified dynamically at runtime considering the emergence of other requirements. Self-adaptive software alters its behavior to satisfy the requirements in a dynamic environment. In this context, the concept of self-adaptive software is suitable for some dynamic IoT environments (e.g., smart greenhouses, smart homes, and reality applications). In this study, we propose a self-adaptive framework for decision-making in an IoT environment at runtime. The framework comprises a finite-state machine model design and a game theoretic decision-making method for extracting efficient strategies. The framework was implemented as a prototype and experiments were conducted to evaluate its runtime performance. The results demonstrate that the proposed framework can be applied to IoT environments at runtime. In addition, a smart greenhouse-based use case is included to illustrate the usability of the proposed framework. View Full-Text
Keywords: self-adaptive software; game theory; finite-state machine (FSM); Nash equilibrium; Internet of Things (IoT) self-adaptive software; game theory; finite-state machine (FSM); Nash equilibrium; Internet of Things (IoT)
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MDPI and ACS Style

Lee, E.; Seo, Y.-D.; Kim, Y.-G. Self-Adaptive Framework Based on MAPE Loop for Internet of Things. Sensors 2019, 19, 2996. https://doi.org/10.3390/s19132996

AMA Style

Lee E, Seo Y-D, Kim Y-G. Self-Adaptive Framework Based on MAPE Loop for Internet of Things. Sensors. 2019; 19(13):2996. https://doi.org/10.3390/s19132996

Chicago/Turabian Style

Lee, Euijong, Young-Duk Seo, and Young-Gab Kim. 2019. "Self-Adaptive Framework Based on MAPE Loop for Internet of Things" Sensors 19, no. 13: 2996. https://doi.org/10.3390/s19132996

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