Abstract
Wireless sensor networks (WSNs) enable smart environments to provide pervasive and ubiquitous applications, which give context-aware and scalable services to the end users. In this paper, an agent-based architecture is proposed for knowledge discovery and the variation in received signal strength indicator (RSSI) is used for knowledge extraction. Several experiments are conducted in an in-door environment to demonstrate the application of RSSI for ubiquitous monitoring. For instance, a WSN, which consists of Moteiv’s Tmote Sky sensors, is deployed in a bedroom to determine the sleeping behavior and other physical activities of a person. Similarly, a WSN is used to identify the occupied chairs in a room, as well as the mobility of a person.
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Erdogan, S.Z., Hussain, S., Park, JH. (2007). Intelligent Monitoring Using Wireless Sensor Networks. In: Denko, M.K., et al. Emerging Directions in Embedded and Ubiquitous Computing. EUC 2007. Lecture Notes in Computer Science, vol 4809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77090-9_35
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DOI: https://doi.org/10.1007/978-3-540-77090-9_35
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