On the longest edge of Gabriel graphs in wireless ad hoc networks
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 root ln n+xi/pi n is asymptotically equal to 2e(-xi). This implies that xi --> infinity is an asymptotically almost sure sufficient condition for constructing the G 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 2 root ln + xi/pi n is asymptotically equal to exp(-2e(-xi)).
the longest edge gabriel graph wireless ad hoc network topology control poisson point process asymptotic probability distribution