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机会传感网络移动节点连通度的影响因素
引用本文:刘琳岚,刘群,郭凯,韩洋.机会传感网络移动节点连通度的影响因素[J].北京邮电大学学报,2016,39(6):116-120.
作者姓名:刘琳岚  刘群  郭凯  韩洋
作者单位:南昌航空大学 信息工程学院, 南昌 330063
基金项目:国家自然科学基金项目(61262020;61363015),江西省教育厅科学技术重点项目(GJJ150702)
摘    要:针对机会传感网络基于节点移动实现网络通信的特点,考虑到影响移动节点连通度的因素,提出了机会传感网络的移动节点连通度模型,实现了对移动节点连通度的刻画.在区域划分的机会传感网络中,分析了移动节点时间序列特征因子,得到与特征因子相关的影响移动节点连通度的因素.利用一元回归得到影响因素与时延的关系,通过回归组合分析得到移动节点的连通度模型.仿真结果表明,该模型能够反映机会传感网络移动节点的连通度.

关 键 词:机会传感网络  移动节点  连通度  一元回归分析  回归组合分析  
收稿时间:2015-04-28

The Impact Factors of Mobile Node Connectivity for Opportunistic Sensor Networks
LIU Lin-lan,LIU Qun,GUO Kai,HAN Yang.The Impact Factors of Mobile Node Connectivity for Opportunistic Sensor Networks[J].Journal of Beijing University of Posts and Telecommunications,2016,39(6):116-120.
Authors:LIU Lin-lan  LIU Qun  GUO Kai  HAN Yang
Affiliation:School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
Abstract:According to the features of network communication through node movement in opportunistic sensor networks, a mobile node connectivity model was proposed by studying their impact factors, which dipicts connectivity of mobile nodes. In region-divided opportunistic sensor networks, the time series char-acteristic factors of mobile nodes were analyzed, and connectivity factors, related with them, were ob-tained. Monadic regression was employed to get the relationship between impact factors and delay. Based on the regression combination analysis, the mobile node connectivity model was constructed. Simulations show that the model can reflect the mobile node connectivity.
Keywords:opportunistic sensor networks  mobile nodes  connectivity factors  monadic regression anal-ysis  regression combination analysis
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