北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (6): 116-120.doi: 10.13190/j.jbupt.2016.06.022

• 研究报告 • 上一篇    

机会传感网络移动节点连通度的影响因素

刘琳岚, 刘群, 郭凯, 韩洋   

  1. 南昌航空大学 信息工程学院, 南昌 330063
  • 收稿日期:2015-04-28 出版日期:2016-12-28 发布日期:2016-12-28
  • 作者简介:刘琳岚(1968-),女,教授,E-mail:liulinlan@nchu.edu.cn.
  • 基金资助:
    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)

The Impact Factors of Mobile Node Connectivity for Opportunistic Sensor Networks

LIU Lin-lan, LIU Qun, GUO Kai, HAN Yang   

  1. School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
  • Received:2015-04-28 Online:2016-12-28 Published:2016-12-28

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

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 characteristic factors of mobile nodes were analyzed, and connectivity factors, related with them, were obtained.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.

Key words: opportunistic sensor networks, mobile nodes, connectivity factors, monadic regression analysis, regression combination analysis

中图分类号: