Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code
Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code
Mobility modeling in wireless networks: categorization, smooth movement, and border effects
ACM SIGMOBILE Mobile Computing and Communications Review
The Spatial Node Distribution of the Random Waypoint Mobility Model
Mobile Ad-Hoc Netzwerke, 1. deutscher Workshop über Mobile Ad-Hoc Netzwerke WMAN 2002
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Efficient Broadcasting with Guaranteed Coverage in Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
Spatial Node Distribution of the Random Waypoint Mobility Model with Applications
IEEE Transactions on Mobile Computing
On random points in the unit disk
Random Structures & Algorithms
Understanding the simulation of mobility models with Palm calculus
Performance Evaluation
MANETS: High Mobility Can Make Up for Low Transmission Power
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
Information spreading in stationary Markovian evolving graphs
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Modelling mobility: a discrete revolution
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming: Part II
Smooth movement and Manhattan path based Random Waypoint mobility
Information Processing Letters
Modelling mobility: A discrete revolution
Ad Hoc Networks
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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.