http://www.cnr.it/ontology/cnr/individuo/prodotto/ID200132
Energy-aware test connection assignment for the diagnosis of a wireless sensor network (Contributo in atti di convegno)
- Type
- Label
- Energy-aware test connection assignment for the diagnosis of a wireless sensor network (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/LADC.2011.15 (literal)
- Alternative label
Weber, Andréa ; Kutzke, Alexander Robert ; Chessa, Stefano (2011)
Energy-aware test connection assignment for the diagnosis of a wireless sensor network
in 5th Latin American Symposium on Dependable Computing, LADC 2011, San Paulo, Brazil, 25-29 April 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Weber, Andréa ; Kutzke, Alexander Robert ; Chessa, Stefano (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- ID_PUMA: cnr.isti/cnr.isti/2011-A2-025. - ID Modulo Commessa 4172 - ICT.P07.008.002 - 074 - Tecnologie e sistemi wireless eterogenei interconnessi. - Area di valutazione 15a - Scienze e tecnologie per una società dell'informazione e della comunicazione (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Energy-aware+test+connection+assignment+for+the+diagnosis+of+a+wireless+sensor+network&filter=&x=13&y=25 (literal)
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Federal University of Parana - Dept. Informatics, Curitiba, Pr, Brasil ; Computer Science Department, University of Pisa, Italy (literal)
- Titolo
- Energy-aware test connection assignment for the diagnosis of a wireless sensor network (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-0-7695-4320-8 (literal)
- Abstract
- In a Wireless Sensor Network (WSN) where the sensors raise alarms in response to anomalous events, we consider the problem of detecting false alarms (i.e. false positives) by using a system-level diagnosis approach. In particular, we assume that a set of t sensors in a geographic neighborhood generate the alarm, and the sink issues to the WSN a self test task that involves a number of reciprocal tests among the sensors in the WSN. Based on the test outcomes, the sink executes the diagnosis in order to identify the faulty sensors. This work presents an algorithm for the assignment of the tests (i.e. a strategy for the assignment of reciprocal tests among sensors) that assures the desired system diagnosability and that is aware of the energy consumption of the sensors. Simulation experiments show that, as compared to the existing approaches, our approach enables consistent energy savings on the sensors. (literal)
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