The problem of representing and querying sensor network readings issues new research challenges, as traditional techniques and architectures used for managing relational and object oriented databases are not suitable in this context. In this paper, we present a Grid-based framework that supports aggregate query answering on sensor network data, and uses a summarization technique to efficiently accomplish this task. In particular, Grid nodes are used for collecting, compressing and storing sensor network readings, as well as extracting information from stored data. Grid nodes can exchange information among each other, so that the same piece of information can be stored (with a different degree of accuracy) into several nodes. Queries are evaluated by locating the Grid nodes containing the needed information (either compressed or not), and choosing (among these nodes) the most convenient ones, according to a cost model.

Efficiently representing and querying sensor network readings on data grids

Cuzzocrea, Alfredo;Furfaro, Filippo;Masciari, Elio;Saccã , Domenico
2006-01-01

Abstract

The problem of representing and querying sensor network readings issues new research challenges, as traditional techniques and architectures used for managing relational and object oriented databases are not suitable in this context. In this paper, we present a Grid-based framework that supports aggregate query answering on sensor network data, and uses a summarization technique to efficiently accomplish this task. In particular, Grid nodes are used for collecting, compressing and storing sensor network readings, as well as extracting information from stored data. Grid nodes can exchange information among each other, so that the same piece of information can be stored (with a different degree of accuracy) into several nodes. Queries are evaluated by locating the Grid nodes containing the needed information (either compressed or not), and choosing (among these nodes) the most convenient ones, according to a cost model.
2006
Software
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/264089
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact