Connectivity of random k-nearest-neighbour graphs

被引:64
作者
Balister, P
Bollobás, B
Sarkar, A
Walters, M
机构
[1] Univ Memphis, Dept Math, Memphis, TN 38152 USA
[2] Univ Cambridge, Cambridge CB2 1TN, England
关键词
random geometric graph; connectivity; Poisson process;
D O I
10.1239/aap/1113402397
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let P be a Poisson process of intensity one in a square S-n of area n. We construct a random geometric graph G(n,k) by joining each point of P to its k equivalent to k(n) nearest neighbours. Recently, Xue and Kumar proved that if k <= 0.074 log n then the probability that Gn,k is connected tends to 0 as n -> infinity while, if k >= 5.1774 log n, then the probability that G(n,k) is connected tends to 0 as n -> infinity. They conjectured that the threshold for connectivity is k = (1 + o(1)) log n. In this paper we improve these lower and upper bounds to 0.3043 log n and 0.5139 log n, respectively, disproving this conjecture. We also establish lower and upper bounds of 0.7209 log n and 0.9967 log n for the directed version of this problem. A related question concerns coverage. With G(n,k) as above, we surround each vertex by the smallest (closed) disc containing its k nearest neighbours. We prove that if k <= 0.7209 log n then the probability that these discs cover S-n tends to 0 as n -> infinity while, if k >= 0.9967 log n, then the probability that the discs cover S-n tends to I as n -> infinity.
引用
收藏
页码:1 / 24
页数:24
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