Fault-Localisation and Self-Stabilisation Technique for WSN

Research output: ThesisDoctoral Thesis

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Abstract

This research presents a novel technique for enhancing fault tolerance and self-stabilisation in wireless sensor networks (WSNs) through an innovative fault localisation and network partitioning algorithm. It offers a robust architecture and a mathematical formulation of the problem for network state prediction, using differential equations and Green's Theorem to detect faulty sensor nodes. Key contributions include fault detection, network state prediction, fault localisation, and self-stabilisation to extend the network's lifespan.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Charles Sturt University
Supervisors/Advisors
  • Khan, Muhammad Arif, Principal Supervisor
  • Zia, Tanveer, Co-Supervisor
Award date06 Dec 2024
Place of PublicationAustralia
Publisher
Publication statusPublished - 28 Nov 2024

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