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Issue No.01 - January (2007 vol.18)

pp: 111-125

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2007.16

ABSTRACT

<p><b>Abstract</b>—In wireless ad hoc networks, without fixed infrastructures, virtual backbones are constructed and maintained to efficiently operate such networks. The <it>Gabriel graph</it> (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 <it>Poisson point process</it> with mean <tmath>n</tmath> 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 <tmath>\sqrt{{\frac{\ln n}{\pi n}}}</tmath> is asymptotically almost surely equal to 2. Next, we show that for any <tmath>\xi</tmath>, the expected number of GG edges whose lengths are at least <tmath>2\sqrt{{\frac{\ln n + \xi}{\pi n}}}</tmath> is asymptotically equal to <tmath>2e^{-\xi}</tmath>. This implies that <tmath>\xi\rightarrow\infty</tmath> 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 <tmath>2e^{-\xi}</tmath>. Therefore, the probability of the event that the length of the longest edge is less than <tmath>2\sqrt{{\frac{\ln n + \xi}{\pi n}}}</tmath> is asymptotically equal to <tmath>\exp\left(-2e^{-\xi}\right)</tmath>.</p>

INDEX TERMS

Wireless ad hoc network, Gabriel graph, asymptotic probability distribution, the longest edge, poisson point process, topology control.

CITATION

Peng-Jun Wan, "On the Longest Edge of Gabriel Graphs in Wireless Ad Hoc Networks",

*IEEE Transactions on Parallel & Distributed Systems*, vol.18, no. 1, pp. 111-125, January 2007, doi:10.1109/TPDS.2007.16