Dynamic tracking of composite events in wireless sensor networks (Contributo in volume (capitolo o saggio))

Type
Label
  • Dynamic tracking of composite events in wireless sensor networks (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-36958-2_6 (literal)
Alternative label
  • Amato G., Chessa S., Gennaro C., Vairo C. (2013)
    Dynamic tracking of composite events in wireless sensor networks
    in Ad Hoc Networks, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Amato G., Chessa S., Gennaro C., Vairo C. (literal)
Pagina inizio
  • 72 (literal)
Pagina fine
  • 86 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Ad Hoc Networks. 4th International ICST Conference, ADHOCNETS 2012 (Paris, France, October 16-17, 2012). Revised Selected Papers Progetto EU_FP7 - Robotics UBIquitous COgnitive Network Acronimo: RUBICON Grant agreement 269914 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-642-36958-2_6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Ad Hoc Networks (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 111 (literal)
Note
  • Scopu (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
Titolo
  • Dynamic tracking of composite events in wireless sensor networks (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-36957-5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Jun Zheng, Nathalie Mitton, Jun Li, Pascal Lorenz (literal)
Abstract
  • Tracking moving objects is one important feature of wireless sensor networks. It is of interest in intrusion detection, traffic monitoring, security applications, and environmental monitoring. Current approaches to event tracking either focus on ad-hoc solutions to track specific ob- jects, or address specific sensors or transducers as sources of data. On the other hand, by addressing composite events as source of data, it is pos- sible to obtain higher-level information that is computed cooperatively by the sensors themselves that aggregate and combine the low-level ac- quired data. To address tracking of composite event we propose a general approach based on query languages. Our proposal allows to express in a simple form the properties of the composite event to be tracked, and the attributes related to the tracked events that have to be reported to the user. We propose and an in-network query processing model that implements the language and that allows the sensors to track and collect data from a moving event in a dynamic and autonomous way. The re- sults of simulation experiments show that the proposed approach allows to successfully track moving events by properly tuning some parameters of the system. (literal)
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