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A Combinatorial Approach for Key-Distribution in Wireless Sensor Networks

Authors: Arash Mehdizadeh; H. Shafiei; Ahmad Khonsari; Mohamed Ould-Khaoua;

A Combinatorial Approach for Key-Distribution in Wireless Sensor Networks

Abstract

Sensor nodes are usually deployed in adversarial environments in which they are subject to compromise and revelation of critical information rendering the entire network useless. Therefore, secure communication of wireless sensor networks (WSNs) necessitates utilization of efficient key distribution schemes. Over the past few years, several works using probabilistic, deterministic and hybrid methods have been conducted to address key distribution among sensor nodes. In this paper we propose a novel method to deterministically distribute key-chains throughout a WSN utilizing expander graphs based on the Zig-Zag graph product. Given a set of constraints such as network size, amount of storage, radio range and key-chain length, we are able to efficiently construct a resilient yet scalable key distribution graph. The main advantage of the obtained method is providing a more user-adjustable and predictable framework compared to the previously proposed approaches. Simulation results demonstrate the efficiency of our proposed scheme and its general applicability to different network paradigms with diverse requirements.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Average
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