Efficient training of sensor networks (Articolo in rivista)

Type
Label
  • Efficient training of sensor networks (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Bertossi A.; Olariu S.; Pinotti M. C. (2006)
    Efficient training of sensor networks
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bertossi A.; Olariu S.; Pinotti M. C. (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 12 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Algorithmic Aspects of Wireless Sensor Networks. Second International Workshop. ALGOSENSORS 2006 (Venice, Italy, July 15, 2006). Revised Selected Papers. pp. 1-12. Sotiris E. Nikoletseas and José D.P. Rolim (ed.). (Lecture Notes in Computer Science, vol. 4240). Springer, 2006. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Titolo
  • Efficient training of sensor networks (literal)
Abstract
  • Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location is not necessary, and all that the individual sensors need is a coarse-grain location awareness. The task of acquiring such a coarse-grain location awareness is referred to as training. In this paper, a scalable energy-efficient training protocol is proposed for massively-deployed sensor networks, where sensors are initially anonymous and unaware of their location. The training protocol is lightweight and simple to implement; it is based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters where data can be gathered from the environment and synthesized under local control. (literal)
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