Abstract
Self-adaptive component-based architectures facilitate the building of systems able of dynamically adapting to varying execution contexts. Such a dynamic adaptation is particularly relevant in the domain of wireless sensor networks (WSNs), where numerous and unexpected changes of the execution context prevail. In this paper, we introduce a reference architecture for WSNs in order to contribute to middleware development for enabling self-adaptive behavior in service-oriented WSNs. This reference architecture follows the autonomic computing model MAPE-K, for making decisions aiming to attend self-adaptive WSN requirements. At the end of this paper, we present a case study to explain how instantiate our reference architecture in order to create a specific concrete middleware for WSN.
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Portocarrero, J.M.T., Delicato, F.C., Pires, P.F., Batista, T.V. (2014). Reference Architecture for Self-adaptive Management in Wireless Sensor Networks. In: Bouchachia, A. (eds) Adaptive and Intelligent Systems. ICAIS 2014. Lecture Notes in Computer Science(), vol 8779. Springer, Cham. https://doi.org/10.1007/978-3-319-11298-5_12
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DOI: https://doi.org/10.1007/978-3-319-11298-5_12
Publisher Name: Springer, Cham
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