Modeling application spreading using mobile ad hoc networks

Horváth, Ádám; Farkas, Károly

doi:10.1109/wmnc.2010.5678767

Cited by 1 publication

(2 citation statements)

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“…The communication model we apply is a simplified version of the one provided in [5]. In this model, since the users who are not interested in the application do not influence the spreading process, we consider only those users that are eventually ready to purchase or at least to use the application under study.…”

Section: A Communication Modelmentioning

confidence: 99%

“…For instance, in [1] the authors study through simulation the persistence of communication paths under various mobility patterns and network sizes; in [2] simulation is used to analyze some routing algorithms for MANET. Examples of works based on analytical models are: [3] gives a random walk mobility model to characterize node movement and study link availability, in [4] the authors show that a Poisson Boolean model is suitable for sensor networks with nodes switching between a sleeping and an active phase; and in [5] application spreading is studied through a closed queuing network.…”

Section: Introductionmentioning

confidence: 99%

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A Mean Field Based Methodology for Modeling Mobility in Ad Hoc Networks

Beccuti

Pierro

Horváth

et al. 2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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Abstract-In this paper we propose a methodology for the modeling and analysis of ad hoc networks composed by a large number of nodes moving among geographical regions. This methodology uses compositional construction of stochastic Petri nets (SPN) for building the model which allows for specifying the model and the required performance indices at a high level of abstraction. As our aim is to consider real scenarios with several geographical regions and non-trivial user behavior in each region, the size of the state space of the model can easily grow too large to analyze with exact analytical approaches or even with simulation. For this reason, we propose to carry out the analysis by constructing the mean field approximation of the behavior of the SPN. The approximation is provided by a set of ordinary differential equations (ODE) that can be derived automatically from the SPN and can be solved numerically with low computational effort even for large models.The methodology is illustrated on a case study, modeling application spreading in a mobile environment. It will be shown that the approximate results obtained by the mean field approach capture well the behavior of the system.

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Section: A Communication Modelmentioning

confidence: 99%