DocumentCode
1779883
Title
On topological properties of wireless sensor networks under the q-composite key predistribution scheme with on/off channels
Author
Jun Zhao ; Yagan, Osman ; Gligor, Virgil
Author_Institution
Dept. of ECE, Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2014
fDate
June 29 2014-July 4 2014
Firstpage
1131
Lastpage
1135
Abstract
The q-composite key predistribution scheme [2] is used prevalently for secure communications in large-scale wireless sensor networks (WSNs). Prior work [5], [13], [44] explores topological properties of WSNs employing the q-composite scheme for q = 1 with unreliable communication links modeled as independent on/off channels. In this paper, we investigate topological properties related to the node degree in WSNs operating under the q-composite scheme and the on/off channel model. Our results apply to general q and are stronger than those reported for the node degree in prior work even for the case of q being 1. Specifically, we show that the number of nodes with an arbitrary degree asymptotically converges to a Poisson distribution, present the asymptotic probability distribution for the minimum degree of the network, and establish the asymptotically exact probability for the property that the minimum degree is at least an arbitrary value. Numerical experiments confirm the validity of our analytical findings.
Keywords
Poisson distribution; telecommunication network topology; telecommunication security; wireless channels; wireless sensor networks; Poisson distribution; WSN; asymptotic probability distribution; asymptotically exact probability; node degree; on-off channels; q-composite key predistribution scheme; secure communications; topological properties; wireless sensor networks; Analytical models; Channel models; Numerical models; Probability distribution; Sensors; Wireless sensor networks; Random intersection graph; connectivity; key predistribution; node degree; random key graph; s-intersection graph; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/ISIT.2014.6875009
Filename
6875009
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