An integrated mobility and traffic model for vehicular wireless networks

By David R. Choffnes, Fabian E. Bustamante. International Workshop on VehiculAr Inter-NETworking, 2005

491 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f281cadc76cfa4f593aaadc57c030a3e26a57c12

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

CARAVAN: Providing Location Privacy for VANET (2005, methodology): “Very recently, the STRAW model has been proposed in [24] that unlike [23], takes into account the spatial dependency between”
Vehicular Mobility Simulation for VANETs (2007, methodology): “The Street Random Waypoint (STRAW) tool [26] is a mobility simulator based on the freely available Scalable Wireless Ad Hoc Network Simulator (SWANS).”
Security and Cooperation in Wireless Networks (2007, background): “As for vehicular communications, Choffnes and Bustamante [101] have explored the integration of road mobility and traffic models, and stressed the substantial difference between vehicular mobility and the random waypoint model.”
The ONE simulator for DTN protocol evaluation (2009, unknown): “, [6]).”
A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches (2015, background): “The mobility model addresses aspects such as vehicular congestion and traffic control by deploying specialised mechanisms to impose infrastructure limitations on the traffic flow [94].”
TraNS: realistic joint traffic and network simulator for VANETs (2008, background): “Both [ 13 ] and [22] use real maps to create random waypoint mobility traces; [14] uses microscopic tra‐c models on artiflcial Voronoi graphs; [15] uses the tra‐c simulator SUMO to generate mobility traces for ns2; [20] is a modular integrated tra‐c and network simulator from scratch, but it lacks v”
AMOEBA: Robust Location Privacy Scheme for VANET (2007, methodology): “We utilize slight variants of these models in our study, by incorporating additional parameters such as lane changing [40].”
Mobility models for vehicular ad hoc networks: a survey and taxonomy (2009, methodology): “SHIFT [69] yes yes AP activity smooth, road-dep STRAW [70] TIGER no random random SD RWalk, Dijkstra smooth”
Connectivity-Aware Routing (CAR) in Vehicular Ad-hoc Networks (2007, background): “The advantages of using realistic vehicular traces are elaborated in [5], [13], [14] and are not a topic of this paper.”
Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks (2011, background): “As noted in a recent survey on Vehicular Ad Hoc Network (VANET) simulators [3], state of the art VANET simulators such as NS-2 [4], JiST/SWANS/STRAW [5], and NCTU-NS [6], consider the vehicles as dimensionless entities that have no influence on signal propagation.”
Routing in vehicular ad hoc networks: A survey (2007, methodology): “Both AODV and DSR are used to compare performances of STRAW against RWP under varying traffic conditions in Chicago and Boston and it is concluded that significantly different results are obtained by the use of a realistic mobility model.”
A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks (2012, unknown): “Single-hop TrafficInfo [44] Simulation STRAW/SWANS [53] 6 TrafficView [45] Simulation NS-2 10 CRCP [46] Simulation NETSTREAM [54] 9 Abiding Geocast [47] Simulation OMNeT++ [55] 5 SODAD [48] Simulation NS-2 9 14”