Title
Spatial node distribution of manhattan path based random waypoint mobility models with applications
Abstract
In this paper, we study the spatial node stationary distribution of two variations of the Random Waypoint (in short, RWP) mobility model. In particular, differently from the RWP mobility model, that connects source to destination points by straight lines, our models make use of Manhattan or (more realistically) Bezier paths. We provide analytical results for the spatial node stationary distribution for the two Manhattan based RWP mobility models and experimental evidence that the Bezier based models do not significantly differ from the Manhattan ones. This implies that Manhattan based RWP models can be considered a good approximation of the more realistic Bezier ones. As a case study, we exploit our results about one of the two Manhattan based RWP models to derive an upper bound on the transmission range of the nodes of a MANET, moving according to this model, that with high probability guarantees the connectivity of the communication graph.
Year
DOI
Venue
2009
10.1007/978-3-642-11476-2_13
SIROCCO
Keywords
Field
DocType
random waypoint mobility model,rwp model,bezier path,mobility model,rwp mobility model,spatial node distribution,case study,analytical result,communication graph,spatial node stationary distribution,realistic bezier,random waypoint,manhattan path,stationary distribution,upper bound
Mobile computing,Mobile ad hoc network,Topology,Upper and lower bounds,Computer science,Simulation,Mobility model,Exploit,Bézier curve,Waypoint,Stationary distribution
Conference
Volume
ISSN
ISBN
5869
0302-9743
3-642-11475-X
Citations 
PageRank 
References 
6
0.46
11
Authors
5
Name
Order
Citations
PageRank
pilu crescenzi19511.52
Miriam di Ianni214417.27
Andrea Marino318523.48
Gianluca Rossi423521.60
Paola Vocca522524.79