Title :
Probability of k-Hop Connection under Random Connection Model
Author :
Mao, Guoqiang ; Zhang, Zijie ; Anderson, Brian D O
Author_Institution :
Univ. of Sydney & Nat. ICT Australia, Sydney, NSW, Australia
fDate :
11/1/2010 12:00:00 AM
Abstract :
Consider a wireless sensor network with Ltd. sensors following a homogeneous Poisson distribution in a given area A in ℜ2. A sensor located at x2 ∈ A is directly connected to a sensor located at x1 ∈ A with probability g (x2 - x1), independent of any other distinct pair of sensors. In this letter, we provide a recursive formula for computing Pr (k|x), the probability that a node x ∈ A apart from another node is connected to that node at exactly k hops, for a generic random connection function g : ℜ2 → . The recursive formula is accurate for k = 1, 2 and provides an approximation for Pr (k|x) for k > 2. The exact and approximate analytical results are validated by simulations. The knowledge of Pr (k|x) can be used in a number of areas in sensor networks.
Keywords :
Poisson distribution; probability; wireless sensor networks; homogeneous Poisson distribution; k-hop connection; probability; random connection model; wireless sensor network; Ad hoc networks; Analytical models; Approximation methods; Computational modeling; Nonhomogeneous media; Probability; Wireless sensor networks; Random connection model; k-hop connection;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2010.092310.101298