The Spatial Node Distribution of the Random Waypoint Mobility Model

By Christian Bettstetter, Christian Wagner. Workshop über Mobile Ad-Hoc Netzwerke, 2002

389 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/25545c707a4cd70edb0df7680981cbefdcd83098

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Citations in the corpus

On the Connectivity of Ad Hoc Networks (2004, background): “The mobility component is in general non-uniform; in a circular area A, fX,m(x) can be approximated by [17]”
The message delay in mobile ad hoc networks (2005, background): “In particular, it has been observed that the stationary distribution of the location of a node is more concentrated near the center of the region in which the nodes move [3].”
AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks (2005, background): “One difference which might make random waypoint movement patterns easier to deal with, is that nodes tend to cluster together in the middle of the area, resulting in shorter paths (see [3]), something which is maybe not the case for Gauss-Markov models (for this mobility model the average node distr”
BonnMotion: a mobility scenario generation and analysis tool (2010, background): “[8]) which add attraction points to this model in order to generate more realistic non-equally distributed mobility: The probability that a node selects an attraction point or a point in an attraction area as next waypoint is larger than the choice of other points.”
A SURVEY OF MOBILITY MODELS in Wireless Adhoc Networks (2004, methodology): “Therefore, a non-uniform distribution is formed[9][11].”
Spatial node distribution of the random waypoint mobility model with applications (2006, result): “Our result was first given in report form in [14].”
Stationary distributions for the random waypoint mobility model (2004, background): “In particular, it has been noticed [2], [8], [9] that the stationary distribution of the location of a node is more concentrated near the center of the region in which the nodes move since nodes traveling between uniformly chosen points spend more time near the center than near the edges.”
Modeling mobility for vehicular ad-hoc networks (2004, background): “The characteristics and properties of this mobility model have recently been studied in detail [4, 5].”
Stochastic Properties of the Random Waypoint Mobility Model (2004, unknown): “1 shows the spatial node distribution fX(x) of such an RWP movement process obtained through a long–running simulation in a square system area of size 1000 × 1000m2 as well as on a disk of radius a = 500m [3, 6].”