A unified mobility model for analysis and simulation of mobile wireless networks
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- 作者：Ming Zhao and Wenye Wang
- 关键词：Mobility model ; Smooth movement ; Semi ; Markov process ; Stochastic analysis ; Network performance evaluation ; Mobile wireless networks
- 刊名：Wireless Networks
- 出版时间：April, 2009
- 出版年：2009
- 期刊代码：60_10220038
- 类别：mt
- 卷：15
- 期：3
- 页码：365-389
- 数据来源：sp
摘要
We propose a novel mobility model, named Semi-Markov Smooth (SMS) model, to characterize the smooth movement of mobile users in accordance with the physical law of motion in order to eliminate sharp turns, abrupt speed change and sudden stops exhibited by existing models. We formulate the smooth mobility model by a semi-Markov process to analyze the steady state properties of this model because the transition time between consecutive phases (states) has a discrete uniform distribution, instead of an exponential distribution. Through stochastic analysis, we prove that this model unifies many good features for analysis and simulations of mobile networks. First, it is smooth and steady because there is no speed decay problem for arbitrary starting speed, while maintaining uniform spatial node distribution regardless of node placement. Second, it can be easily and flexibly applied for simulating node mobility in wireless networks. It can also adapt to different network environments such as group mobility and geographic constraints. To demonstrate the impact of this model, we evaluate the effect of this model on distribution of relative speed, link lifetime between neighboring nodes, and average node degree by ns-2 simulations.