Published 2012
| Version v1
Publication
Distributed cognitive radio architecture with automatic frequency switching
Contributors
Description
Abstract—The employment of sophisticated tools for data analysis in distributed or structurally complex systems requires the
development of specific architectures and data fusion strategies
in order to integrate heterogeneous information coming from
the environmental sensors. Recently, intelligent sensor networks
have been widely deployed for various purposes concerning
both security- and safety-oriented systems. Military and civil
applications ranging from border surveillance and public spaces
monitoring to ambient intelligence and road safety are examples
of such various applications. The architecture presented in this
article is based on the Cognitive Node (CN) - a module able
to receive data from the sensors, process it in order to find
potentially harmful or anomalous events and situations and, in
some cases, to interact with the environment itself or contact the
human operator. The cognitive model was studied and exploited,
focusing on the analysis and decision blocks which represent the
crucial phases for assessing potentially unsecure/unsafe events
and/or situations. The scalability of the model with regards
to different application domains was investigated during the
research activity. Proposed results show the capability of the
given architecture for analysis and assessment of the occurring
interactions, with the goal of maintaining proper security/safety
levels in the monitored environment.
Additional details
Identifiers
- URL
- http://hdl.handle.net/11567/382747
- URN
- urn:oai:iris.unige.it:11567/382747