Modeling mobility for vehicular ad-hoc networks

By Amit Kumar Saha, David B. Johnson. International Workshop on VehiculAr Inter-NETworking, 2004

509 citations recorded by the source corpus.

Without realistic modeling of node mobility, simulation evaluation of performance of mobile ad hoc networks may not correlate well with performance in a real deployment. In this work, we present a new, realistic model of node motion based on the movement of vehicles on real street maps. Our model can be used with the ns-2 network simulator. We compare our model with the Random Waypoint mobility model, the most widely used mobility model. Results show that, in many ways, the Random Waypoint mobility model is a good approximation for simulating the motion of vehicles on a road, but there are situations in which our new model is better suited.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0ed7839de3eb251b257e7c25fdb440dc9fe80bc6

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset (2014, methodology): “The simplistic stochastic models employed in early works [1] have been replaced by random mobility over realistic road topologies [4] at first, and by microscopic vehicular models borrowed from transportation research [5] later on.”
Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis (2011, unknown): “The impact of mobility models on VANET simulation results, as well as the inadequacy of the mobility models usually adopted in MANET simulations [5], is well-documented in the literature [6], [7].”
Mobility models for vehicular ad hoc networks: a survey and taxonomy (2009, methodology): “The MONARCH project [78] proposed a tool that extracts road topologies from real road maps obtained from the TIGER [79] database.”
An integrated mobility and traffic model for vehicular wireless networks (2005, background): “These results contradict those reported in Saha and Johnson [31], where the authors state that a random waypoint model is sufficiently similar to the street mobility in terms of network connectivity.”
An Improved Vehicular Ad Hoc Routing Protocol for City Environments (2007, unknown): “During these years, interest in applications for inter-vehicle communications increased in the EU, the US and Japan, resulting in many national vehicle safety projects such us CarTALK2000 and the Car2Car communication consortium [ 17 ] in the EU and the VSCC (Vehicle Safety Communication Consortium)”
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 nodes, but does not incorporate lane changing.”
Rapid Generation of Realistic Mobility Models for VANET (2007, background): “Many prior studies [7], [8] have shown that a realistic mobility model with sufﬁcient level of details is critical for accurate network simulation results.”
AMOEBA: Robust Location Privacy Scheme for VANET (2007, methodology): “The study by Saha and Johnson in [48], accounts for restricted movement on real map data, and uses the current vehicle traffic conditions to determine the path of nodes to their respective destinations.”
GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications (2007, methodology): “The first real-world environment is by way of the mobility model generation tool introduced in [40], which is specialized to generate realistic city-traffic-scenario files for vehicles under ns-2.”
VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks (2006, methodology): “The mobility pattern is generated similar to that of [ 20 ], but we need to unevenly model the distributed traffic.”
An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces (2006, methodology): “Saha and Johnson [37] convert the maps of USA available from TIGER (Topologically Integrated Geographic Encoding) into a set of x, y points corresponding to the starting/ending points of each road segment.”
TACKing Together Efficient Authentication, Revocation, and Privacy in VANETs (2009, methodology): “To represent city traffic we use a traffic scenario generator [22] and the 3 kilometer square (9km(2)) city topology from Dallas, Texas presented in Figure 2 (a).”
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network (2006, background): “RWP is considered quite similar to the actual vehicular mobility because of its settings such as arrivals, directions and speeds [24].”
Serendipity: enabling remote computing among intermittently connected mobile devices (2012, methodology): “Speciﬁcally, we use Levy Walk Model [28], Random WayPoint Model (RWP) [29], and Time-Variant Community Mobility Model (TVCM) [21].”
Routing in vehicular ad hoc networks: A survey (2007, methodology): “Saha and Johnson [36] first attempted to propose a realistic street mobility model where they used the road information from the TIGER ( US road map by US Census Bureau.”
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”
Vehicular Mobility Simulation for VANETs (2007, methodology): “The simple Freeway model and Manhattan model [11] represent an initial step in mimicking vehicular movements, while several pioneering works in this field involve the generation of mobility patterns based on real road maps [12] or monitoring of real vehicular movements in cities [13].”