On the Strength of Connectivity of Inhomogeneous Random K-out Graphs
Mansi Sood, Osman Ya\u{g}an

TL;DR
This paper analyzes the connectivity properties of inhomogeneous random K-out graphs, establishing precise thresholds for k-connectivity and showing that simple conditions suffice for near-complete connectivity in large networks.
Contribution
It provides a sharp zero-one law for k-connectivity in inhomogeneous K-out graphs, extending known results and clarifying the scaling needed for different connectivity levels.
Findings
Sharp zero-one law for k-connectivity established
K_n must scale as (1/(1-μ))(log n + (k-2) log log n + ω(1))
K_n ≥ 2 ensures a large connected component whp
Abstract
Random graphs are an important tool for modelling and analyzing the underlying properties of complex real-world networks. In this paper, we study a class of random graphs known as the inhomogeneous random K-out graphs which were recently introduced to analyze heterogeneous sensor networks secured by the pairwise scheme. In this model, first, each of the nodes is classified as type-1 (respectively, type-2) with probability (respectively, independently from each other. Next, each type-1 (respectively, type-2) node draws 1 arc towards a node (respectively, arcs towards distinct nodes) selected uniformly at random, and then the orientation of the arcs is ignored. From the literature on homogeneous K-out graphs wherein all nodes select neighbors (i.e., ), it is known that when , the graph is -connected asymptotically almost…
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Mobile Ad Hoc Networks · Energy Efficient Wireless Sensor Networks
