DocumentCode :
3356423
Title :
Secure k-connectivity in wireless sensor networks under an on/off channel model
Author :
Jun Zhao ; Yagan, Osman ; Gligor, Virgil
Author_Institution :
Dept. of ECE, Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
2790
Lastpage :
2794
Abstract :
Random key predistribution scheme of Eschenauer and Gligor (EG) is a typical solution for ensuring secure communications in a wireless sensor network (WSN). Connectivity of the WSNs under this scheme has received much interest over the last decade, and most of the existing work is based on the assumption of unconstrained sensor-to-sensor communications. In this paper, we study the k-connectivity of WSNs under the EG scheme with physical link constraints; k-connectivity is defined as the property that the network remains connected despite the failure of any (k - 1) sensors. We use a simple communication model, where unreliable wireless links are modeled as independent on/off channels, and derive zero-one laws for the properties that i) the WSN is k-connected, and ii) each sensor is connected to at least k other sensors. These zero-one laws improve the previous results by Rybarczyk on the k-connectivity under a fully connected communication model. Moreover, under the on/off channel model, we provide a stronger form of the zero-one law for the 1-connectivity as compared to that given by Yağan.
Keywords :
private key cryptography; public key cryptography; radio links; telecommunication security; wireless sensor networks; EG scheme; WSN; communication model; fully connected communication model; on-off channel model; physical link constraints; random key predistribution scheme; secure communications; secure k-connectivity; unconstrained sensor-to-sensor communications; unreliable wireless links; wireless sensor networks; zero-one laws; Channel models; Educational institutions; Encryption; Sensors; Wireless sensor networks; Wireless sensor networks; k-connectivity; key predistribution; minimum node degree; random key graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620734
Filename :
6620734
Link To Document :
بازگشت