Abstract
Wireless Sensor and Actuator Networks (WSAN), composed by small sensing nodes for acquisition, collection and analysis of data, are often employed for communication between Internet objects. However the WSAN have some problems such as sensors’ energetic consumption and CPU load. The massive storage capacity, large processing speeds and the rapid elasticity makes Cloud Computing a very good solution to these problems. To efficiently manage devices’ resources, and achieve efficient communication with various platforms (cloud, mobile), this paper proposes a middleware that allows flows of AI applications’ execution to be transferred between a device and the cloud.
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Acknowledgments
Work developed in the scope of the Monarch project: Multi-Robot Cognitive Systems Operating in Hospitals, FP7-ICT-2011-9-601033, supported by EU funds. Artur Arsenio was also supported by CMU-Portuguese program through Fundação para Ciência e Tecnologia, under Augmented Human Assistance project CMUP-ERI/HCI/0046/2013.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Francisco, R., Arsenio, A. (2015). Intelligent Multi-platform Middleware for Wireless Sensor and Actuator Networks. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_3
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DOI: https://doi.org/10.1007/978-3-319-19656-5_3
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