000058509 001__ 58509
000058509 005__ 20170504091739.0
000058509 0247_ $$2doi$$a10.3390/s130202399
000058509 0248_ $$2sideral$$a81480
000058509 037__ $$aART-2013-81480
000058509 041__ $$aeng
000058509 100__ $$aSanguesa, J.A.
000058509 245__ $$aAn infrastructureless approach to estimate vehicular density in urban environments
000058509 260__ $$c2013
000058509 5060_ $$aAccess copy available to the general public$$fUnrestricted
000058509 5203_ $$aIn Vehicular Networks, communication success usually depends on the density of vehicles, since a higher density allows having shorter and more reliable wireless links. Thus, knowing the density of vehicles in a vehicular communications environment is important, as better opportunities for wireless communication can show up. However, vehicle density is highly variable in time and space. This paper deals with the importance of predicting the density of vehicles in vehicular environments to take decisions for enhancing the dissemination of warning messages between vehicles. We propose a novel mechanism to estimate the vehicular density in urban environments. Our mechanism uses as input parameters the number of beacons received per vehicle, and the topological characteristics of the environment where the vehicles are located. Simulation results indicate that, unlike previous proposals solely based on the number of beacons received, our approach is able to accurately estimate the vehicular density, and therefore it could support more efficient dissemination protocols for vehicular environments, as well as improve previously proposed schemes.
000058509 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/TIN2011-27543-C03-01
000058509 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000058509 590__ $$a2.048$$b2013
000058509 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b10 / 57 = 0.175$$c2013$$dQ1$$eT1
000058509 591__ $$aCHEMISTRY, ANALYTICAL$$b36 / 75 = 0.48$$c2013$$dQ2$$eT2
000058509 591__ $$aELECTROCHEMISTRY$$b15 / 27 = 0.556$$c2013$$dQ3$$eT2
000058509 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000058509 700__ $$0(orcid)0000-0003-1044-7335$$aFogue, M.$$uUniversidad de Zaragoza
000058509 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, P.$$uUniversidad de Zaragoza
000058509 700__ $$0(orcid)0000-0001-6945-7330$$aMartinez, F.J.$$uUniversidad de Zaragoza
000058509 700__ $$aCano, J.C
000058509 700__ $$aCalafate, C.T.
000058509 700__ $$aManzoni, P.
000058509 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cArquitectura y Tecnología de Computadores
000058509 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cLenguajes y Sistemas Informáticos
000058509 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cIngeniería de Sistemas y Automática
000058509 773__ $$g13, 2 (2013), 2399-2418$$pSensors$$tSENSORS$$x1424-8220
000058509 8564_ $$s662095$$uhttp://zaguan.unizar.es/record/58509/files/texto_completo.pdf$$yVersión publicada
000058509 8564_ $$s85830$$uhttp://zaguan.unizar.es/record/58509/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000058509 909CO $$ooai:zaguan.unizar.es:58509$$particulos$$pdriver
000058509 951__ $$a2017-05-04-09:14:39
000058509 980__ $$aARTICLE