Comparison-Based System-Level Fault Diagnosis in Mobile Wireless Networks
type: CreativeWork
description: This research investigates the problem of the system-level fault diagnosis in mobile wireless networks using the comparison approach. Mobile wireless networks deliver crucial services in harsh environments. Remarkably, there is a proliferate reliance upon services running on such systems. However, efficient service delivery is a substantial challenge due to the intrinsic characteristics of mobile networks and the rough deployment conditions. Hence, researchers have paid much attention to design dependable mobile networks withstanding failures that may lead to service outages. Faults are the sources of network impairments, and hence fault diagnosis is a leading mean to attain network dependability. System-level fault diagnosis has been studied widely, aiming to automate the diagnosis process. One of the most practical diagnosis approaches is the comparison approach that identifies the faulty status of nodes by comparing their return outputs for the same task assigned earlier. In the literature, there are several comparison-based diagnosis models. However, the characterisations of the diagnosable systems under these models impose stringent constraints on the underlying system, and hence their competency in dynamic contexts deteriorates sharply. This thesis presents three significant contributions to tackle the dearth of diagnosis models proposed for mobile networks. First, it scrutinises the diagnosis requirements of mobile wireless networks. Further, it addresses the fundamental limitations of the current comparison-based diagnosis models and protocols. Second, this thesis presents a time-free comparison model for mobile wireless networks. The class of diagnosable systems under this model has been characterized. Two fault diagnosis protocols have been presented, and their performance has been evaluated. Both protocols can correctly diagnose faulty nodes undergoing static and dynamic faults in mobile wireless networks. These protocols employ two different disseminatio…
abstract: This research investigates the problem of the system-level fault diagnosis in mobile wireless networks using the comparison approach. Mobile wireless networks deliver crucial services in harsh environments. Remarkably, there is a proliferate reliance upon services running on such systems. However, efficient service delivery is a substantial challenge due to the intrinsic characteristics of mobile networks and the rough deployment conditions. Hence, researchers have paid much attention to design dependable mobile networks withstanding failures that may lead to service outages. Faults are the sources of network impairments, and hence fault diagnosis is a leading mean to attain network dependability. System-level fault diagnosis has been studied widely, aiming to automate the diagnosis process. One of the most practical diagnosis approaches is the comparison approach that identifies the faulty status of nodes by comparing their return outputs for the same task assigned earlier. In the literature, there are several comparison-based diagnosis models. However, the characterisations of the diagnosable systems under these models impose stringent constraints on the underlying system, and hence their competency in dynamic contexts deteriorates sharply. This thesis presents three significant contributions to tackle the dearth of diagnosis models proposed for mobile networks. First, it scrutinises the diagnosis requirements of mobile wireless networks. Further, it addresses the fundamental limitations of the current comparison-based diagnosis models and protocols. Second, this thesis presents a time-free comparison model for mobile wireless networks. The class of diagnosable systems under this model has been characterized. Two fault diagnosis protocols have been presented, and their performance has been evaluated. Both protocols can correctly diagnose faulty nodes undergoing static and dynamic faults in mobile wireless networks. These protocols employ two different disseminatio…
author: Jarrah, Hazim
keywords: Fault Diagnosis, Dependability, Mobile wireless Networks, Hybrid Faults, Intermittent Faults, Dynamic Faults
date published: 2020
date modified: 2026-07-27T18:46:16Z
provider: AUT University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: AUT University