Intelligent monitoring using wireless sensor networks

Abstract

Wireless sensor networks (WSNs) enable smart environments to provide pervasive and ubiquitous applications, which give contextaware 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. © IFIP International Federation for Information Processing 2007.