DocumentCode
1339439
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
Volume
14
Issue
11
fYear
2010
fDate
11/1/2010 12:00:00 AM
Firstpage
1023
Lastpage
1025
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;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2010.092310.101298
Filename
5590335
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