6533b837fe1ef96bd12a3132

RESEARCH PRODUCT

Understanding the Environment through Wireless Sensor Networks

Salvatore GaglioMarco OrtolaniGiuseppe Lo ReL. Gatani

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniData processingComputer scienceVisual sensor networkCognitive architecturecomputer.software_genreCognitive architecturesConnectionismHuman–computer interactionSensor nodeKey (cryptography)Data miningLayer (object-oriented design)Wireless sensor networkcomputerWireless Sensor Network

description

This paper presents a new cognitive architecture for extracting meaningful, high-level information from the environment, starting from the raw data collected by a Wireless Sensor Network. The proposed framework is capable of building rich internal representation of the sensed environment by means of intelligent data processing and correlation. Furthermore, our approach aims at integrating the connectionist, data-driven model with the symbolic one, that uses a high-level knowledge about the domain to drive the environment interpretation. To this aim, the framework exploits the notion of conceptual spaces, adopting a conceptual layer between the subsymbolic one, that processes sensory data, and the symbolic one, that describes the environment by means of a high level language; this intermediate layer plays the key role of anchoring the upper layer symbols. In order to highlight the characteristics of the proposed framework, we also describe a sample application, aiming at monitoring a forest through a Wireless Sensor Network, in order to timely detect the presence of fire.

yearjournalcountryeditionlanguage
2007-08-25
10.1007/978-3-540-74782-6_8http://hdl.handle.net/10447/25704