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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >On the Longest Edge of Gabriel Graphs in Wireless Ad Hoc Networks
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On the Longest Edge of Gabriel Graphs in Wireless Ad Hoc Networks

机译:无线自组织网络中加百利图的最长边

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In wireless ad hoc networks, without fixed infrastructures, virtual backbones are constructed and maintained to efficiently operate such networks. The Gabriel graph (GG) is one of widely used geometric structures for topology control in wireless ad hoc networks. If all nodes have the same maximal transmission radii, the length of the longest edge of the GG is the critical transmission radius such that the GG can be constructed by localized and distributed algorithms using only 1-hop neighbor information. In this paper, we assume a wireless ad hoc network is represented by a Poisson point process with mean n on a unit-area disk, and nodes have the same maximal transmission radii. We give three asymptotic results on the length of the longest edge of the GG. First, we show that the ratio of the length of the longest edge to radic(ln n/pin)is asymptotically almost surely equal to 2. Next, we show that for any xi, the expected number of GG edges whose lengths are at least 2radic(ln n + xi/pin) is asymptotically equal to 2e middotxi. This implies that xi rarr chi is an asymptotically almost sure sufficient condition for constructing the GG by 1-hop information. Last, we prove that the number of long edges is asymptotically Poisson with mean 2e-xi. Therefore, the probability of the event that the length of the longest edge is less than 2radic(ln n + xi/pin) is asymptotically equal to exp(-2e-xi)
机译:在没有固定基础结构的无线自组织网络中,虚拟主干网被构建和维护以有效地操作此类网络。 Gabriel图(GG)是无线ad hoc网络中用于拓扑控制的广泛使用的几何结构之一。如果所有节点都具有相同的最大传输半径,则GG最长边缘的长度就是临界传输半径,这样GG可以通过仅使用1跳邻居信息的局部和分布式算法来构造。在本文中,我们假设无线自组织网络由单位面积磁盘上的均值n的泊松点过程表示,并且节点具有相同的最大传输半径。我们在GG最长边的长度上给出了三个渐近结果。首先,我们证明最长边与弧线的长度之比(ln n / pin)渐近几乎肯定等于2。其次,我们证明对于任何xi,期望的GG边数至少为2radic(ln n + xi / pin)渐近等于2e middotxi。这意味着xi rarr chi是渐近几乎确定的通过1跳信息构造GG的充分条件。最后,我们证明了长边的数量是渐近泊松的,均值为2e-xi。因此,最长边的长度小于2radic(ln n + xi / pin)的事件的概率渐近等于exp(-2e-xi)

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