Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Proceedings of the 9th annual international conference on Mobile computing and networking
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Stochastic properties of the random waypoint mobility model
Wireless Networks
Connectivity Gateway Discovery in MANETs
Wireless Systems and Mobility in Next Generation Internet
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Existing mobility models used in the simulation tools have two major limitations. First, these models invoke unrealistic moving behaviors, such as sudden stop and sharp turn during the simulation. Hence, the study of mobile ad-hoc networks (MANETs) based on these models could lead to wrong conclusions. Second, because the node speed and direction do not change within each movement, they are insufficient to mimic the minute moving behaviors of mobile users. Therefore, we design a novel smooth mobility model, which can characterize the real-life moving behaviors of mobile users in accordance with the physical law of a smooth motion. Moreover, we apply the smooth model to evaluate the routing performance and network connectivity of MANETs. Compared with the most commonly used mobility model, random waypoint (RWP) model, we find that the routing performance and network connectivity evaluation based on the RWP model is over optimistic. To demonstrate the applications of the smooth model, we present the easy adaptation of the smooth model to group mobility and geographic restrictions.