On the longest edge of Gabriel graphs in wireless ad hoc networks

Peng Jun Wan*, Tsi-Ui Ik

*Corresponding author for this work

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

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 √ln n/πn is asymptotically almost surely equal to 2. Next, we show that for any ξ, the expected number of GG edges whose lengths are at least 2√ln n + ξ/π n is asymptotically equal to 2e. This implies that ξ → ∞ 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. Therefore, the probability of the event that the length of the longest edge is less than 2√ln n + ξ/πn is asymptotically equal to (-2e).

Original languageEnglish
Pages (from-to)111-125
Number of pages15
JournalIEEE Transactions on Parallel and Distributed Systems
Volume18
Issue number1
DOIs
StatePublished - 1 Jan 2007

Keywords

  • Asymptotic probability distribution
  • Gabriel graph
  • Poisson point process
  • The longest edge
  • Topology control
  • Wireless ad hoc network

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