On range matrices and wireless networks in d dimensions

M. Desai, D. Manjunath
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引用次数: 9

Abstract

Suppose that V = {v/sub 1/, v/sub 2/, ...v/sub n/} is a set of nodes randomly (uniformly) distributed in the d dimensional cube [0, x/sub 0/]/sup d/, and W = {w(i, j) > 0 : 1 /spl les/ i, j /spl les/ n} is a set of numbers chosen so that w(i, j) = w(j, i) = w(j, i). Construct a graph G/sub n,d,W/ whose vertex set is V, and whose edge set consists of all pairs {u/sub i/, u/sub j/} with /spl par/ u/sub i/ - u/sub j/ /spl par/ /spl les/ w(i, j). In the wireless network context, the set V is a set of labeled nodes in the network and W represents the maximum distances between the node pairs for them to be connected. We essentially address the following question: "if G is a graph with vertex set V, what is the probability that G appears as a subgraph in G/sub n,d,W/?" Our main contribution is a closed form expression for this probability under the l/sub /spl infin// norm for any dimension d and a suitably defined probability density function. As a corollary to the above answer, we also answer the question, "what is the probability that Q/sub n,d,W/ is connected?".
d维范围矩阵与无线网络
假设V = {V /下标1/,V /下标2/,…v/sub n/}是随机(均匀)分布在d维立方体[0,x/sub 0/]/sup d/中的节点集合,W = {W (i, j) > 0:1 / spl les / i, j / spl les / n}是一组数字选择这样w (i, j) = w (j,我)= w (j, i),构造一个图G / an d w / V的顶点集,和边缘的设置包括所有对{u / (i / u / sub j /} / spl par / u /订阅/ - u / sub j / / spl par / / spl les / w (i, j)。在无线网络环境中,V是一组标记集网络中的节点和w代表最大的节点对之间的距离有关。我们本质上解决了以下问题:“如果G是一个顶点集V的图,那么G作为G/ (n,d,W/)中的子图出现的概率是多少?”我们的主要贡献是在l/sub /spl in//范数下对任意维d的概率的封闭形式表达式和适当定义的概率密度函数。作为上述答案的推论,我们还回答了“Q/sub n,d,W/连接的概率是多少?”
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