A Hybrid and Flexible Discovery Algorithm for Wireless Sensor Networks with Mobile Elements (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• A Hybrid and Flexible Discovery Algorithm for Wireless Sensor Networks with Mobile Elements (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/ISCC.2012.6249311 (literal)

Alternative label

• Conti Marco, Restuccia Francesco, Anastasi Giuseppe, Kondepu, Koteswararao (2012)
  A Hybrid and Flexible Discovery Algorithm for Wireless Sensor Networks with Mobile Elements
  in 17th IEEE Symposium on Computers and Communications (lSCC), TURKEY, JUL 01-04, 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Conti Marco, Restuccia Francesco, Anastasi Giuseppe, Kondepu, Koteswararao (literal)

Pagina inizio

• 295 (literal)

Pagina fine

• 300 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• ID_Puma ; /cnr.iit/2012-A2-045 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• 2012 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 6 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-IIT, Pisa; CNR-IIT, Pisa; Department of Information Engineering, University of Pisa, Italy; Dept. of Computer Science & Engineering IMT Institute, Lucca, Italy (literal)

Titolo

• A Hybrid and Flexible Discovery Algorithm for Wireless Sensor Networks with Mobile Elements (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4673-2713-8 (literal)

Abstract

• In sparse wireless sensor networks, data collection is carried out through specialized mobile nodes that visit sensor nodes, gather data, and transport them to the sink node. Since visit times are typically unpredictable, one of the main challenges to be faced in this kind of networks is the energy-efficient discovery of mobile collector nodes by sensor nodes. In this paper, we propose an adaptive discovery algorithm that combines a learning-based approach with a hierarchical scheme. Thanks to its hybrid nature, the proposed algorithm is very flexible, as it can adapt to very different mobility patterns of the mobile collector node(s), ranging from deterministic to completely random mobility. We have investigated the performance of the proposed approach, through simulation, and we have compared it with existing adaptive algorithms that only leverage either a learning-based or a hierarchical approach. Our results show that the proposed hybrid algorithm outperforms the considered adaptive approaches in all the analyzed scenarios (literal)

Editore

• IEEE, Institute of electrical and electronics engineers (Editore)

Prodotto di

• Ubiquitous Internet (INT.P01.001.001) (Modulo)
• Istituto di informatica e telematica (IIT) (Istituto)

Autore CNR

• MARCO CONTI (Unità di personale interno)

Incoming links:

Prodotto

• Istituto di informatica e telematica (IIT) (Istituto)
• Ubiquitous Internet (INT.P01.001.001) (Modulo)

Autore CNR di

• MARCO CONTI (Unità di personale interno)

Editore di

• IEEE, Institute of electrical and electronics engineers (Editore)