TAILIEUCHUNG - An enhanced random waypoint mobility model

The movement pattern of users is of significant when evaluating the performance of different kinds of algorithms in wireless networking environments. In this paper, we propose an enhanced random waypoint mobility model (ERWP) to achieve a good trade off between reality and complexity. | International Journal of Computer Networks and Communications Security VOL. 5, NO. 7, JULY 2017, 148–152 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) An Enhanced Random Waypoint Mobility Model NGUYEN NGOC VAN School of Electronics and Telecommunications, Hanoi University of Science and Technology, No 1, Dai Co Viet Street, Hai Ba Trung, Hanoi ABSTRACT The movement pattern of users is of significant when evaluating the performance of different kinds of algorithms in wireless networking environments. In this paper, we propose an enhanced random waypoint mobility model (ERWP) to achieve a good trade off between reality and complexity. ERWP model uses two stochastic processes for speed change and waiting control, which make the movement of nodes smoother and more realistic. Simulation shows that the proposed ERWP model can provide a spatial distribution and movement behavior of a user in mobile region. Keywords: Mobility Model, Modeling and Simulation, Random Waypoint Mobility Model. The most commonly used mobility model in the networking research community is the random Movement pattern of users is of fundamental waypoint (RWP) model, which was originally importance when evaluating the performance of proposed for studying the performance of ad hoc different kinds of algorithms in wireless networking routing protocols by Johnson and Maltz [10]. [11] environments. If the model is unrealistic, invalid and [12] describe the stationary distributions and conclusions may be drawn. Since real movement stochastic properties of RWP model in detail. [13] patterns are difficult to obtain, a common approach Random waypoint on the border model (RWPB) [14] are the is to use synthetic mobility models which can still and Markovian Waypoint Model (MWP) variants of RWP model. In the former, the capture the essential impact of mobility on the waypoints must be uniformly distributed on the protocol performance in .

• Quản trị mạng
• International Journal of Computer Networks and Communications Security
• An enhanced random waypoint mobility model
• Random waypoint mobility model
• Modeling and Simulation
• Random Waypoint Mobility Model
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