k-Connectivity in Random Key Graphs with Unreliable Links
Jun Zhao, Osman Yagan, Virgil Gligor

TL;DR
This paper analyzes the connectivity of random key graphs with unreliable links, establishing conditions for k-connectivity and minimum degree, which are crucial for secure wireless sensor networks under environmental impairments.
Contribution
It extends previous work by deriving zero-one laws for k-connectivity in random key graphs with unreliable links, identifying critical thresholds for large networks.
Findings
Established zero-one laws for k-connectivity
Identified critical thresholds for network parameters
Improved upon previous reliability and connectivity results
Abstract
Random key graphs form a class of random intersection graphs and are naturally induced by the random key predistribution scheme of Eschenauer and Gligor for securing wireless sensor network (WSN) communications. Random key graphs have received much interest recently, owing in part to their wide applicability in various domains including recommender systems, social networks, secure sensor networks, clustering and classification analysis, and cryptanalysis to name a few. In this paper, we study connectivity properties of random key graphs in the presence of unreliable links. Unreliability of the edges are captured by independent Bernoulli random variables, rendering edges of the graph to be on or off independently from each other. The resulting model is an intersection of a random key graph and an Erdos-Renyi graph, and is expected to be useful in capturing various real-world networks;…
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