Weighted waypoint mobility model and its impact on ad hoc networks

Abstract

To realistically evaluate performance of ad hoc networks we propose a generic framework called the Weighted Way Point (WWP) mobility model. WWP model captures preferences in choosing destinations of pedestrian mobility patterns in a campus environment. We estimate the parameters of this model using mobility survey data for the USC campus. We further compare WWP model with widely used Random Waypoint (RWP) model and demonstrate that in the WWP model mobile nodes display uneven (clustering), time-varying spatial distribution. WWP model is also less mobile than RWP model with typical parameter settings. The clustering effect can cause lower success rate of route discovery in ad hoc networks.