STEPS - an approach for human mobility modeling

Authors:
Anh Dung Nguyen;Patrick Sénac;Victor Ramiro;Michel Diaz
Affiliations:
ISAE/University of Toulouse, Toulouse, France and LAAS/CNRS, Toulouse, France;ISAE/University of Toulouse, Toulouse, France and LAAS/CNRS, Toulouse, France;NIC Chile Research Labs, Santiago, Chile;LAAS/CNRS, Toulouse, France
Venue:
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
Year:
2011

Citing 7
Cited 3

A community based mobility model for ad hoc network research

REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Impact of Human Mobility on Opportunistic Forwarding Algorithms

IEEE Transactions on Mobile Computing
Toward stochastic anatomy of inter-meeting time distribution under general mobility models

Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Working day movement model

Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
Modeling spatial and temporal dependencies of user mobility in wireless mobile networks

IEEE/ACM Transactions on Networking (TON)
Characterising temporal distance and reachability in mobile and online social networks

ACM SIGCOMM Computer Communication Review
Power Law and Exponential Decay of Intercontact Times between Mobile Devices

IEEE Transactions on Mobile Computing

SMOOTH: a simple way to model human mobility

Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Swarm-based intelligent routing (SIR): a new approach for efficient routing in content centric delay tolerant networks

Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Understanding and modeling the small-world phenomenon in dynamic networks

Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

Quantified Score

Hi-index	0.01

Visualization

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.