03896nam 22006255 450 991029896360332120250820220209.03-319-25507-X10.1007/978-3-319-25507-1(CKB)3710000000602250(EBL)4415548(SSID)ssj0001653668(PQKBManifestationID)16433147(PQKBTitleCode)TC0001653668(PQKBWorkID)14982468(PQKB)11570943(DE-He213)978-3-319-25507-1(MiAaPQ)EBC4415548(PPN)192220004(EXLCZ)99371000000060225020160219d2015 u| 0engur|n|---|||||txtccrMobility Modeling for Vehicular Communication Networks /by Khadige Abboud, Weihua Zhuang1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (82 p.)SpringerBriefs in Electrical and Computer Engineering,2191-8120Description based upon print version of record.3-319-25505-3 Includes bibliographical references at the end of each chapters.Introduction.-System model -- Microscopic vehicle mobility model -- Spatio-temporal network topology analysis -- Conclusions and future work.This brief presents a stochastic microscopic mobility model that describes the temporal changes of intervehicle distances. The model is consistent with simulated and empirical vehicle traffic patterns. Using stochastic lumpability methods, the proposed 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 used to analyze the spatiotemporal VANET topology. Two metrics are proposed to characterize the impact of vehicle mobility on VANET topology: the time period between successive changes in communication link state (connection and disconnection) and the time period between successive changes in node’s one-hop neighborhood. Using the proposed lumped group mobility model, the two VANET topology metrics are probabilistically characterized for different vehicular traffic flow conditions. Furthermore, the limiting behavior of a system of two-hop vehicles and the overlap-state of their coverage ranges is modeled, and the steady-state number of common vehicle neighbors between the two vehicles is approximately derived. The proposed mobility model will facilitate mathematical analysis in VANETs.  The spatiotemporal VANET topology analysis provides a useful tool for the development of mobility-aware vehicular network protocols. Mobility Modeling for Vehicular Communication Networks is designed for researchers, developers, and professionals involved with vehicularcommunications. It is also suitable for advanced-level students interested in communications, transport infrastructure, and infotainment applications.SpringerBriefs in Electrical and Computer Engineering,2191-8120Computer networksTelecommunicationComputer Communication NetworksCommunications Engineering, NetworksComputer networks.Telecommunication.Computer Communication Networks.Communications Engineering, Networks.388.3124Abboud Khadigeauthttp://id.loc.gov/vocabulary/relators/aut1059569Zhuang Weihuaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910298963603321Mobility Modeling for Vehicular Communication Networks2507056UNINA