@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS044 prodottidellaricerca:prodotto prodotto:ID279328 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA9553 pubblicazioni:autoreCNRDi prodotto:ID279328 . @prefix unitaDiPersonaleEsterno: . unitaDiPersonaleEsterno:ID15762 pubblicazioni:autoreCNRDi prodotto:ID279328 . @prefix modulo: . modulo:ID4182 prodottidellaricerca:prodotto prodotto:ID279328 . @prefix rdf: . prodotto:ID279328 rdf:type prodotto:TIPO1301 . @prefix retescientifica: . prodotto:ID279328 rdf:type retescientifica:ProdottoDellaRicerca . @prefix rdfs: . prodotto:ID279328 rdfs:label "Robust and Efficient Data Collection Schemes for Vehicular Multimedia Sensor Network (Contributo in atti di convegno)"@en . @prefix xsd: . prodotto:ID279328 pubblicazioni:anno "2013-01-01T00:00:00+01:00"^^xsd:gYear ; pubblicazioni:doi "10.1109/WoWMoM.2013.6583399"^^xsd:string . @prefix skos: . prodotto:ID279328 skos:altLabel "
Raffaele Bruno, Maddalena Nurchis (2013)
Robust and Efficient Data Collection Schemes for Vehicular Multimedia Sensor Network
in 14th IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2013), Madrid, Spain
"^^rdf:HTML ; pubblicazioni:autori "Raffaele Bruno, Maddalena Nurchis"^^xsd:string ; pubblicazioni:affiliazioni "IIT-CNR"^^xsd:string ; pubblicazioni:titolo "Robust and Efficient Data Collection Schemes for Vehicular Multimedia Sensor Network"^^xsd:string ; pubblicazioni:isbn "978-1-4673-5827-9"^^xsd:string ; prodottidellaricerca:abstract "In vehicular multimedia sensor networks vehicles are equipped with cameras and they continuously capture images from urban streets. Then, vehicles can use roadside wireless access points encountered during travel to deliver recorded image data to remote data collectors, in which the information from several multimedia streams is aggregated and processed to enable new services, such as urban surveillance, or traffic and road monitoring. However, due to constraints on the wireless access network the amount of image data that can be transferred from vehicles is limited, and data redundancy should be avoided. In this paper we address this issue by using submodular optimization techniques to develop an efficient data collection algorithm capable of providing data redundancy elimination under network capacity constraints. We also design an alternative decentralized scheme that operates on longer time scales and relies only on basic aggregate information. We use network simulations with realistic vehicular mobility patterns to verify the performance gains of our proposed schemes compared to a baseline system that ignores data redundancy. Simulation results show that our data collection techniques can ensure a more accurate coverage of the road network while significantly reducing the amount of transferred data." ; prodottidellaricerca:prodottoDi modulo:ID4182 , istituto:CDS044 ; pubblicazioni:autoreCNR unitaDiPersonaleEsterno:ID15762 , unitaDiPersonaleInterno:MATRICOLA9553 . @prefix parolechiave: . prodotto:ID279328 parolechiave:insiemeDiParoleChiave . parolechiave:insiemeDiParoleChiaveDi prodotto:ID279328 .