Most wireless protocols and algorithms proposed in Mobile Ad Hoc Networks (MANET) are evaluated and compared by using simulations. The impacts ofvarious simulation parameters are noticeable. However, the effects of the mobility model do not attract many attentions until recently. The Random Waypoint (RWP) mobility model, due to its simplicity, is one of the most often deployed mobility models in simulations. But it implicitly introduces many defects such as average speed decaying and un-uniform node distribution. In this paper, we propose a novel mobility model, General Ripple Mobility Model (GRMM), to reduce the above mentioned problems in R WP. Furthermore, GRMM can provide another great feature, Diverse Average Speed (DAS), to generate different average speed mobility patterns easily within the same speed range. Simulation results have shown that GRMM can simultaneously achieve uniform node distribution and diverse average speed.
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