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Spatial Node Distribution of Manhattan Path Based Random Waypoint Mobility Models with Applications

  • Pilu Crescenzi
  • Miriam Di Ianni
  • Andrea Marino
  • Gianluca Rossi
  • Paola Vocca
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5869)

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.

Keywords

Transmission Range Mobile Computing Mobility Model Destination Point Movement Period 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Pilu Crescenzi
    • 1
  • Miriam Di Ianni
    • 2
  • Andrea Marino
    • 1
  • Gianluca Rossi
    • 2
  • Paola Vocca
    • 3
  1. 1.Dipartimento di Sistemi e InformaticaUniversità di FirenzeFirenzeItaly
  2. 2.Dipartimento di MatematicaUniversità di Roma “Tor Vergata”RomaItaly
  3. 3.Dipartimento di Matematica “Ennio De Giorgi”Università del SalentoLecceItaly

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