STEPS - An Approach for Human Mobility Modeling

  • Anh Dung Nguyen
  • Patrick Sénac
  • Victor Ramiro
  • Michel Diaz
Conference paper

DOI: 10.1007/978-3-642-20757-0_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6640)
Cite this paper as:
Nguyen A.D., Sénac P., Ramiro V., Diaz M. (2011) STEPS - An Approach for Human Mobility Modeling. In: Domingo-Pascual J., Manzoni P., Palazzo S., Pont A., Scoglio C. (eds) NETWORKING 2011. NETWORKING 2011. Lecture Notes in Computer Science, vol 6640. Springer, Berlin, Heidelberg

Abstract

In this paper we introduce Spatio-TEmporal Parametric Stepping (STEPS) - a simple parametric mobility model which can cover a large spectrum of human mobility patterns. STEPS makes abstraction of spatio-temporal preferences in human mobility by using a power law to rule the nodes movement. Nodes in STEPS have preferential attachment to favorite locations where they spend most of their time. Via simulations, we show that STEPS is able, not only to express the peer to peer properties such as inter-contact/contact time and to reflect accurately realistic routing performance, but also to express the structural properties of the underlying interaction graph such as small-world phenomenon. Moreover, STEPS is easy to implement, flexible to configure and also theoretically tractable.

Download to read the full conference paper text

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Anh Dung Nguyen
    • 1
    • 2
  • Patrick Sénac
    • 1
    • 2
  • Victor Ramiro
    • 3
  • Michel Diaz
    • 2
  1. 1.ISAE/University of ToulouseToulouseFrance
  2. 2.LAAS/CNRSToulouseFrance
  3. 3.NIC Chile Research LabsSantiagoChile

Personalised recommendations