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一种平滑高斯半马尔可夫传感器网络移动模型
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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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    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.

    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.

    参考文献
    [1]Akyildiz I,Su W,Sankarasubramaniam Y,Cayirci E.Wireless sensor networks:A survey.Computer Networks,2002,38(4):393-422.
    [2]Sibley G,Rahimi M,Sukhatme G.Robomote:A tiny mobile robot platform for large-scale ad-hoc sensor networks.In:Proc.of the Int'l Conf.on Robotics and Automation.Washington,2002.1143-1148.
    [3]Song L,Kotz D,Jain R,He X.Evaluating location predictors with extensive Wi-Fi mobility data.In:Proc.of the 23rd Annual Joint Conf.of the IEEE Computer and Communications Societies,Vol.2.Hong Kong,2004.1414-1424.
    [4]Chinchilla F,Lindsey M,Papadopouli M.Analysis of wireless information locality and association patterns in a campus.In:Proc.of the IEEE INFOCOM,Vol.2.Hong Kong,2004.906-917.
    [5]Bai F,Sadagopan N,Krishnamachari B,Helmy A.Important:A framework to systematically analyze the impact of mobility on performance of routing protocols for ad hoc networks.In:Proc.of the IEEE INFOCOM,Vol.2.San Francisco,2003.825-835.
    [6]Camp T,Boleng J,Davies V.A survey of mobility models for ad hoc networks research.Wireless Communication and Mobile Computing (WCMC):Special issue on Mobile Ad Hoc Networking:Research,Trends and Applications,2002,2(5):483-502.
    [7]Johnson DB,Maltz DA.Dynamic source routing in ad hoc wireless networks.Mobile Computing,1996,353(5):153-181.
    [8]Ryer E,Melliar-Smith PM,Moser L.An analysis of the optimum node density for ad hoc mobile networks.In:Proc.of the IEEE Int'l Conf.on Mobile Computing and Networking (MOBICOM).Helsinki,2001.857-861.
    [9]Yoon J,Liu M,Noble B.Sound mobility models.In:Proc.of the ACM/IEEE Int'l Conf.Mobile Computing and Networking.San Francisco,2003.205-216.
    [10]Bettstetter C.Mobility modeling in wireless networks:Categorization,smooth movement,and border effects.Mobile Computing and Communications Review,2001,5(3):55-66.
    [11]Shi R,Yang XZ.Research on the node spatial probabilistic distribution of the random waypoint mobility model for ad hoc network.Journal of Computer Research and Development,2005,42(12):2056-2062 (in Chinese with English abstract).
    [12]Yoon J,Liu M,Noble B.Random waypoint considered harmful.In:Proc.of the IEEE INFOCOM,Vol.2.San Francisco,2003.1312-1321.
    [13]Bettstetter C.Smooth is better than sharp:A random mobility model for simulation of wireless networks.In:Proc.of the ACM Int'l Symp.on MSWiM.ACM Press,2001.19-27.
    [14]Liang B,Haas Z.Predictive distance-based mobility management for PCS networks.IEEE/ACM Trans.on Networking,2003,11:718-732.
    [15]Zhao M,Wang W.A novel semi-Markov smooth mobility model for mobile ad hoc networks.In:Proc.of the IEEEGLOBECOM.San Francisco,2006.1-5.
    [16]Deng YL,Liang ZS.Applications of Stochastic Point Processing.Beijing:Science Press,1992 (in Chinese).
    [17]Mao YC,Hu QY.Stochastic Processing.Xi'an:Xidian University Press,1998 (in Chinese).
    [18]Nain P,Towsley D,Liu B,Liu Z.Properties of random direction models.In:Proc.of the IEEE INFOCOM,Vol.3.Miami,2005.1897-1907.
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引用本文

张衡阳,许 丹,刘云辉,蔡宣平.一种平滑高斯半马尔可夫传感器网络移动模型.软件学报,2008,19(7):1707-1715

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  • 收稿日期:2007-12-06
  • 最后修改日期:2008-03-31
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