Stationary distributions for the random waypoint mobility model

By William C. Navidi, Tracy Camp. IEEE Transactions on Mobile Computing, 2004

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MANET simulation studies: the incredibles (2005, methodology): “0% Used the steady-state version of the random waypoint mobility model [26].”
Spatial node distribution of the random waypoint mobility model with applications (2006, methodology): “For the RWP model, Navidi and Camp [8] have utilized their theoretical results for deriving algorithms with which the entire state (speed and location) of the RWP model (with and without pause times) can be initialized according to its stationary state.”
Properties of random direction models (2005, methodology): “, distribution of nodes in the space and distribution of speeds, that were only recently resolved in [8], [9].”
BonnMotion: a mobility scenario generation and analysis tool (2010, methodology): “19 Steady-State Random Waypoint Model (“SteadyStateRandomWaypoint”) The Steady-State Random Waypoint Mobility Model [23, 24] uses the random waypoint model, where a node picks a random point on the simulation area and a random speed and then travels to that point at the chosen speed.”
The message delay in mobile ad hoc networks (2005, methodology): “In this work we have used the implementation of the random waypoint mobility model proposed in [12] (without pausing), which consists of sampling the initial speeds and locations from their stationary distributions.”