DocumentCode :
845814
Title :
On the Longest Edge of Gabriel Graphs in Wireless Ad Hoc Networks
Author :
Wan, Peng-Jun ; Yi, Chih-Wei
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong
Volume :
18
Issue :
1
fYear :
2007
Firstpage :
111
Lastpage :
125
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 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)
Keywords :
ad hoc networks; graph theory; stochastic processes; telecommunication network topology; 1-hop neighbor information; Gabriel graphs; Poisson point process; asymptotic probability distribution; asymptotically Poisson; distributed algorithm; localized algorithm; topology control; virtual backbones; wireless ad hoc networks; Ad hoc networks; Costs; Distributed algorithms; Mobile ad hoc networks; Network topology; Probability distribution; Process control; Solid modeling; Spine; Sufficient conditions; Gabriel graph; Wireless ad hoc network; asymptotic probability distribution; poisson point process; the longest edge; topology control.;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2007.253285
Filename :
4020516
Link To Document :
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