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Analytical results are validated by simulations under a number of mobility models and real datasets.
Therefore, in this paper mobility pattern, mobility models and mobility estimation algorithms for wireless sensor networks are discussed.
Finally, we present a simulation case study to show the influence of mobility models and the role of modeling and simulation to predict the performance of wireless and mobile systems.
After the introduction of stress for device performance enhancement the demand for accurate carrier mobility calculations based on full-band Monte Carlo algorithms has significantly increased, since they allow calibration of phenomenological mobility models and thus justify closure relations for higher order moments equations.
Section 3 describes commonly used mobility models and their applications.
Simulations investigate the movement characteristics of different mobility models and the effect on routing protocols.
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Her major research interest lies in wireless network research including, energy-aware routing in mobile adhoc network, network protocol development, mobility modelling and management.
We formulate an analytical model, which is a hybrid of an empirical mobility model and a synthetic traffic model.
In contrast to most other mobility modeling efforts, most of the aspects of the presented mobility model and model parameters are derived from surveys from urban planning and traffic engineering research.
Our model consists of two different parts: mobility model and propagation model.
These results are in accord with the interfacial mobility model and lend additional credence to this view of protein activity.
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