基于移动模型的移动自组网干扰分布特征仿真研究

发布时间：2018-09-11 09:40

【摘要】：为了分析移动自组网络中的干扰情况,以改善网络的整体性能,引入了三个常见的移动模型——随机路点(RWP)移动模型、高斯-马尔可夫(GMS)模型和参考点组(RPG)移动模型,并采用基于泊松点过程(PPP)的节点空间干扰分布的理论统计几何方法研究了移动自组网络干扰特征,然后利用NS-2软件搭建了基于有冲突避免的载波监听多路访问(CSMA/CA)机制的干扰仿真平台,仿真分析了基于泊松点过程的和基于不同移动模型的干扰的累积分布函数(CDF)及概率密度函数(PDF)。研究发现无线信道间的干扰会极大地影响移动自组网的性能,而在接收节点处的干扰特征主要是由干扰发送节点的几何分布决定的;泊松点过程的干扰分布特征和随机路点移动模型较相似,但与其他两个移动模型存在很大差异。最后分析了存在差异的原因。
[Abstract]:In order to analyze the interference in mobile ad hoc networks and improve the overall performance of the network, three common mobile models, random path point (RWP) mobility model, Gauss-Markov (GMS) model and reference point group (RPG) mobility model, are introduced. Based on Poisson point process (PPP), the interference characteristics of mobile ad hoc networks are studied by using the statistical geometry method of node spatial interference distribution. Then the interference simulation platform based on the collision avoidance carrier monitoring multiple access (CSMA/CA) mechanism is built by using NS-2 software. The cumulative distribution function (CDF) and probability density function (PDF).) based on Poisson point process and interference based on different moving models are simulated and analyzed. It is found that the interference between wireless channels will greatly affect the performance of mobile ad hoc networks, and the interference characteristics at the receiving nodes are mainly determined by the geometric distribution of the interference transmitting nodes. The disturbance distribution characteristics of Poisson point process are similar to the random path point moving model, but they are quite different from the other two moving models. Finally, the reasons for the difference are analyzed.
【作者单位】：河海大学计算机与信息学院;
【基金】：国家自然科学基金(61001068) 教育部博士点基金(20100094120017)资助项目
【分类号】：TN929.5

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