自组织网络随机游走模型的渐近节点分布
Asymptotic Node Distribution of Random Walk Model for Ad Hoc Networks
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摘要: 把随机游走移动模型的渐近节点分布作为研究对象,根据仿真区域的不同,分为两种情况加以分析. 当模型工作在无边界区域的时候,应用中心极限定理求得节点经过n步移动后端点坐标的概率密度函数. 当模型工作在有边界区域的时候,应用马尔可夫链理论和仿真实验证明,由于边界效应的存在,随机游走模型的渐近节点分布是均匀分布.Abstract: Asymptotic node distribution of random walking mobility model is analyzed in two kinds of simulation regions. In boundless regions, the probability density functions of the endpoints after n-step movements are calculated by central limit theorem. When model is implemented in a bounded region, it is proven, by the method of Markov chains and simulation, that the asymptotic node distribution is uniform due to border effect.
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