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Computing the Probability of Specific Random Sector Graphs with Applications in Wireless Networks with Directional Antennas

机译:计算特定随机扇区图的概率及其在定向天线无线网络中的应用

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A random sector graph ψZ(Xn, r, ?, A) consists of n same size circular sectors with sector degree ?, which uniformly randomly distribute in space A. This kind of graphs is appropriate for modeling an ad hoc wireless sensor network consisting of n mobile devices with a directional antenna that are independently and uniformly distributed randomly in an interested area. Computing sub graph probability in RSGs is shown to be a useful tool for counting the number of induced sub graphs, which explores fairly accurate quantitative property on topology of wireless ad hoc sensor networks. To the best of our knowledge, this work presents the first paradigm to compute the sub graph probability of random sector graphs (with sector degree ? less than 60) in a systematical way.
机译:随机扇区图ψZ(Xn,r,α,A)由n个大小相同的圆形扇区组成,扇区度为,均匀地随机分布在空间A中。这种图适用于对由以下组成的自组织无线传感器网络进行建模: n个具有定向天线的移动设备,这些设备独立且均匀地随机分布在感兴趣的区域中。已显示计算RSG中的子图概率是一种用于计算诱发子图数量的有用工具,该工具探索了无线ad hoc传感器网络拓扑的相当准确的定量属性。据我们所知,这项工作提出了第一个范式,以系统的方式计算随机扇形图(扇形度≤60)的子图概率。

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