| 摘要: |
| 在总结现有实体随机移动模型优、缺点的基础上,提出一种能够较好地反映现实节点运动规律的参数独立可控性比较强的平滑高斯-半马尔可夫实体随机移动模型(smooth Gauss-semi-Markov mobility model,简称SGM),并利用马尔可夫过程及更新过程理论证明了该模型具有平均速率时间平稳和点空间分布均匀的特性,适用于移动无线传感器网络的模拟仿真研究. |
| 关键词: 无线传感器网络 移动模型 模拟仿真 平均速率 点空间分布 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60402032 (国家自然科学基金) |
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| A Smooth Gauss-Semi-Markov Mobility Model for Wireless Sensor Networks |
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ZHANG Heng-Yang,XU Dan,LIU Yun-Hui,CAI Xuan-Ping
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| Abstract: |
| Simulation is an indispensable tool in protocol design and evaluation. Typically, simulations of mobile wireless sensor networks rely upon mobility models. This paper presents a smooth Gauss-semi-Markov mobility model (SGM) that can reflect the realistic node movement and has more controllable parameters. Time stationary average speed and uniform spatial node distribution of SGM are proved by Markov process and renewal process theory. Thus, SGM model can be applied to simulation of mobile wireless sensor networks. |
| Key words: wireless sensor networks mobility model simulation average speed spatial node distribution |
