Topological properties of secure wireless sensor networks under the q-composite key predistribution scheme with unreliable links

TL;DR

This paper rigorously analyzes the topological properties of secure wireless sensor networks under the q-composite key predistribution scheme with unreliable links, providing asymptotic probabilities and design guidelines.

Contribution

It offers the first rigorous analysis of network topology considering unreliable links in q-composite secure WSNs, deriving exact probability distributions for node degrees.

Findings

Derived asymptotic probability for minimum degree ≥ k

Established Poisson distribution for the number of nodes with fixed degree

Validated analytical results with experimental data

Abstract

Security is an important issue in wireless sensor networks (WSNs), which are often deployed in hostile environments. The q-composite key predistribution scheme has been recognized as a suitable approach to secure WSNs. Although the q-composite scheme has received much attention in the literature, there is still a lack of rigorous analysis for secure WSNs operating under the q-composite scheme in consideration of the unreliability of links. One main difficulty lies in analyzing the network topology, whose links are not independent. Wireless links can be unreliable in practice due to the presence of physical barriers between sensors or because of harsh environmental conditions severely impairing communications. In this paper, we resolve the difficult challenge and investigate topological properties related to node degree in WSNs operating under the q-composite scheme with unreliable communication links modeled as independent ON/OFF channels. Specifically, we derive the asymptotically exact probability for the property of minimum degree being at least k, present the asymptotic probability distribution for the minimum degree, and demonstrate that the number of nodes with a fixed degree is in distribution asymptotically equivalent to a Poisson random variable. We further use the theoretical results to provide useful design guidelines for secure WSNs. Experimental results also confirm the validity of our analytical findings.