A Statistical Equivalent Model for Random Waypoint Mobility : A Case Study (original) (raw)
Statistical Equivalent Models, or SEMs, have recently attracted considerable interest as a general approach to study computer simulators. By fitting a statistical model to the simulator’s output, SEMs provide an efficient way to quickly explore the simulator’s result. In this paper, we develop a SEM for random waypoint mobility, one of the most widely used mobility models employed by network simulators in the evaluation of communication protocols for wireless multi-hop ad hoc networks (MANETs). We chose the random waypoint mobility model as a case study of SEMs due to recent results pointing out some serious drawbacks of the model (e.g., [1]). In particular, these studies show that, under the random waypoint mobility regime, average node speed tends to zero in steady state. They also show that average node speed varies considerably from the expected average value for the time scales under consideration in most simulation analysis. In order to investigate further the behavior of the ...
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