Mobility Modeling for Vehicular Communication Networks

82 Pages·2015·2.113 MB·English

by  Khadige Abboud, Weihua Zhuang (auth.)

SPRINGER BRIEFS IN
ELECTRICAL AND COMPUTER ENGINEERING
Khadige Abboud
Weihua Zhuang
Mobility
Modeling
for Vehicular
Communication
Networks
123
SpringerBriefs in Electrical and Computer
Engineering
Moreinformationaboutthisseriesathttp://www.springer.com/series/10059

Khadige Abboud • Weihua Zhuang
Mobility Modeling for
Vehicular Communication
Networks
123
KhadigeAbboud WeihuaZhuang
UniversityofWaterloo DepartmentofElectrical
Waterloo,ON,Canada andComputerEnginnering
UniversityofWaterloo
Waterloo,ON,Canada
ISSN2191-8112 ISSN2191-8120 (electronic)
SpringerBriefsinElectricalandComputerEngineering
ISBN978-3-319-25505-7 ISBN978-3-319-25507-1 (eBook)
DOI10.1007/978-3-319-25507-1
LibraryofCongressControlNumber:2015954177
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Preface
In recent years, efforts have been made to deploy communication capabilities in
vehiclesandthetransportinfrastructure,leadingtoapotentialofvehicularadhoc
networks (VANETs). Enabling vehicular communications is expected to revolu-
tionizethetransportinfrastructureandsupportnotonlypublic-safetyapplications,
but also a wide range of infotainment applications. Urban roads and highways
are highly susceptible to high relative speeds and traffic density variations from
time-to-time and from point-to-point on the same roads. High node mobility in
VANETs can cause frequent network topology changes and fragmentations. The
spatiotemporal variations in VANET topology directly (or indirectly) affect the
performanceofnetworkprotocolsthroughtheirimpactontheswitchingofthelinks
betweenconnectionanddisconnection.Characterizingthespatiotemporalvariations
inVANETtopologyrequiresamathematicalmodelthatdescribesvehiclemobility
anditstemporalvariations,thatis,amicroscopicmobilitymodel.Despiteitshigh
speedandrandomness,thevehiclemovementisrestrictedbyroadtopology,speed
limits,trafficrules,andmovementofnearbyvehicles.Therefore,vehiclemovement
followscertainpatterns.Thisbriefpresentsastochasticmicroscopicmobilitymodel
that describes the temporal changes of intervehicle distances, accounting for the
dependency between these changes. The model is consistent with simulated and
empiricalvehicletrafficpatterns.Usingstochasticlumpabilitymethod,theproposed
mobility model is mapped into an aggregated mobility model that describes the
mobility of a group of vehicles. In addition, the proposed mobility model is
utilized to analyze the spatiotemporal VANET topology. Two characteristics are
proposedtodescribetheimpactofvehiclemobilityonVANETtopology:thetime
period between successive changes in communication link state (connection and
disconnection) and thetimeperiod between successive changes innode’s one-hop
neighborhood.Usingtheproposedlumpedgroupmobilitymodel,thetwoVANET
topologycharacteristicsareprobabilisticallydescribedfordifferentvehiculartraffic
flowconditions.Furthermore,thelimitingbehaviorofasystemoftwo-hopvehicles
is investigated in terms of the overlap-state of their coverage ranges and the
number of common vehicle neighbors between them. The steady-state number of
commonvehicleneighborsbetweentwo-hopvehiclesisapproximatelyderived.The
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viii Preface
proposedmobilitymodelisapromisingcandidatemodeltobeutilizedfortraceable
mathematical analysis in VANETs. The spatiotemporal VANET topology analysis
provides a useful tool for the development of mobility-aware vehicular network
protocols.
Waterloo,ON,Canada KhadigeAbboud
WeihuaZhuang
Acknowledgments
We would like to thank all our colleagues in the Broadband Communications
Research (BBCR) Lab at the University of Waterloo for the fruitful discussions,
researchcollaboration,andcontinuousexchangeofknowledge.
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