Centre de documentation
scientifique

Opportunistic sampling-based query processing in wireless sensor networks / Muhammad Umer in Geoinformatica, vol 17 n° 4 (October 2013)  

Public [article]  inGeoinformatica > vol 17 n° 4 (October 2013) . - pp 567 - 597 Titre : Opportunistic sampling-based query processing in wireless sensor networks Type de document : Article/Communication Auteurs : Muhammad Umer, Auteur ; Egemen Tanin, Auteur ; Lars Kulik, Auteur Année de publication : 2013 Article en page(s) : pp 567 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] modélisation spatio-temporelle [Termes IGN] requête (informatique) [Termes IGN] réseau de capteurs [Termes IGN] télécommunication sans fil [Termes IGN] transmission de données Résumé : (Auteur) High resolution sampling of physical phenomenon is a prime application of large scale wireless sensor networks (WSNs). With hundreds of nodes deployed over vast tracts of land, monitoring data can now be generated at unprecedented spatio-temporal scales. However, the limited battery life of individual nodes in the network mandates smart ways of collecting this data by maximizing localized processing of information at the node level. In this paper, we propose a WSN query processing method that enhances localized information processing by harnessing the two inherent aspects of WSN communication, i.e., multihop and multipath data transmission. In an active WSN where data collection queries are regularly processed, multihop and multipath routing leads to a situation where a significant proportion of nodes relay and overhear data generated by other nodes in the network. We propose that nodes opportunistically sample this data as they communicate. We model the data communication process in a WSN and show that opportunistic sampling during data communication leads to surprisingly accurate global knowledge at each node. We present an opportunistic query processing system that uses the accumulated global knowledge to limit the data collection requirements for future queries while ensuring temporal freshness of the results. Numéro de notice : A2013-510 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s10707-012-0170-y Date de publication en ligne : 05/10/2012 En ligne : https://doi.org/10.1007/s10707-012-0170-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32648 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2013041	RAB	Revue	Centre de documentation	En réserve L003	Disponible