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Knowledge Discovery for Smart Applications Using Wireless Sensor Networks

Overview 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 knowledge discovery. 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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Publisher
Acadia University
File Format
PDF
Date Published
Apr 15, 2009
Format
White Papers
Topics
Monitoring Systems, Mobile - Wireless Communications

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