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An arrival-based framework for human mobility modeling

Karamshuk, Dmytro and Boldrini, Chiara and Conti, Marco and Passarella, Andrea An arrival-based framework for human mobility modeling. In: Proceeding of the 13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2012. IEEE, pp. 1-9. ISBN 978-1-4673-1237-0 (2012)

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Modeling human mobility is crucial in the performance analysis and simulation of mobile ad hoc networks, where contacts are exploited as opportunities for peer-to-peer message forwarding. The current approach to human mobility modeling has been based on continuously modifying models, trying to embed in them the newest features of mobility properties (e.g., visiting patterns to locations or inter-contact times) as they came up from trace analysis. As a consequence, typically these models are neither flexible (i.e., features of mobility cannot be changed without changing the model) nor controllable (i.e., the exact shape of mobility properties cannot be controlled directly). In order to take into account the above requirements, in this paper we propose a mobility framework whose goal is, starting from the stochastic process describing the arrival patterns of users to locations, to generate pairwise inter-contact times and aggregate inter-contact times featuring a predictable probability distribution. We validate the proposed framework by means of simulations. In addition, assuming that the arrival process of users to locations can be described by a Bernoulli process, we mathematically derive a closed form for the pairwise and aggregate inter-contact times, proving the controllability of the proposed approach in this case.

Item Type: Book Section
Identification Number: 10.1109/WoWMoM.2012.6263683
Additional Information: San Francisco, California, USA, June 25-28, 2012
Uncontrolled Keywords: Aggregates, Analytical models, Communities, Humans, Mathematical model, Mobile ad hoc networks, Stochastic processes
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 30 Apr 2013 14:12
Last Modified: 30 Apr 2013 14:12
URI: http://eprints.imtlucca.it/id/eprint/1557

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