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The random direction mobility model is commonly adopted in the mobile sensor and ad hoc networks for simulation.
A mobility model is proposed and performance of the positioning system in a mobile environment is assessed.
A random waypoint mobility model is implemented for indoor users.
The requested Averandomate of calls is uniformly distributed between 75 and 1200 Kbps.
For pentacene a Poole–Frenkel mobility model is employed.
The traditional random walk mobility model is then no longer suitable.
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Surveillance coverage of mobile sensor networks under Brownian motion random node mobility model was addressed in [16].
The fact that we consider VANETs and not mobile networks in general has a strong impact on the resulting mobility model being quite specific in highway scenarios.
In section 3, network model and mobility model are presented.
The Gauss-Markov mobility model was designed to adapt to different levels of randomness via tuning parameters.
The mobility model was quantified with our device measurements for the best accuracy, and the characteristic fluctuation was validated with the experimentally measured DC baseband data from 15/20-nm 15/20-nm FinFET deviCMOSin our eandier work [24].
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