000 02676nam a22003855i 4500
001 290297
003 MX-SnUAN
005 20160429154742.0
007 cr nn 008mamaa
008 150903s2013 xxu| o |||| 0|eng d
020 _a9781461480488
_99781461480488
024 7 _a10.1007/9781461480488
_2doi
035 _avtls000342374
039 9 _a201509030852
_bVLOAD
_c201405050242
_dVLOAD
_y201402061124
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK5105.5-5105.9
100 1 _aZhu, Hongzi.
_eautor
_9320945
245 1 0 _aStudies on Urban Vehicular Ad-hoc Networks /
_cby Hongzi Zhu, Minglu Li.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aIx, 124 páginas 78 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringerBriefs in Computer Science,
_x2191-5768
500 _aSpringer eBooks
505 0 _aOverview -- Dealing with Vehicular Traces -- Realistic Vehicular Mobility Models -- Opportunistic Routing Protocols -- Vehicle Tracking -- Traffic Condition Sensing Application.
520 _aWith the advancement of wireless technology, vehicular ad hoc networks (VANETs) are emerging as a promising approach to realizing "smart cities" and addressing many important transportation problems such as road safety, efficiency, and convenience. This brief provides an introduction to the large trace data set collected from thousands of taxis and buses in Shanghai, the largest metropolis in China. It also presents the challenges, design issues, performance modeling and evaluation of a wide spectrum of VANET research topics, ranging from realistic vehicular mobility models and opportunistic routing, to real-time vehicle tracking and urban sensing applications. In addition to the latest research and techniques, the reader will also learn the trace-driven methodologies and tools of performance modeling and analysis, network protocol design and optimization, and network simulation, thus keeping pace with the fast moving VANET research and development.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLi, Minglu.
_eautor
_9320946
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461480471
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-8048-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c290297
_d290297