DocumentCode :
2264876
Title :
Towards network invariant fault diagnosis in MANETs via statistical modeling: The global strength of local weak decisions
Author :
Vashist, Akshay ; Izmailov, Rauf ; Manousakis, Kyriakos ; Chadha, Ritu ; Chiang, C. Jason ; Serban, Constantin ; Ali, Syeed E.
Author_Institution :
Knowledge-Based Syst. Dept., Appl. Commun. Sci., Piscataway, NJ, USA
fYear :
2012
fDate :
16-20 April 2012
Firstpage :
981
Lastpage :
987
Abstract :
Due to its obvious importance, fault detection and localization is a well-studied problem in communication networks, as attested by the many techniques designed to address this problem. The inherent variability, limited component reliability, and constrained resources of MANETs (Mobile Ad hoc Networks) make the problem not just more important, but also critical. Practical development and deployment considerations imply that fault detection and localization methods must i) avoid relying on overly detailed models of network protocols and traffic assumptions and instead rely on actual cross-layer measurements/observations, and ii) be applicable across different network scales and topologies with minimum adjustments. This paper demonstrates the feasibility of such goals, and proposes an important and as yet unexplored approach to fault management in MANETs: network-invariant fault detection, localization and diagnosis with limited knowledge of the underlying network and traffic models. We show how fault management methods can be derived by observing statistical network/traffic measurements in one network, and subsequently applied to other networks with satisfactory performance. We demonstrate that a carefully designed but widely applicable set of local and weak global indicators of faults can be efficiently aggregated to produce highly sensitive and specific methods that perform well when applied to MANETs with varying sizes, topologies, and traffic matrices.
Keywords :
fault diagnosis; mobile ad hoc networks; protocols; statistical analysis; telecommunication network topology; telecommunication traffic; MANET; communication networks; cross-layer measurements; fault localization method; fault management methods; limited component reliability; local weak decisions; mobile ad hoc networks; network invariant fault diagnosis; network protocols; network topology; network-invariant fault detection method; statistical network modeling; traffic matrices; traffic measurements; traffic models; Accuracy; Ad hoc networks; Fault detection; Fault diagnosis; Mobile computing; Network topology; Topology; MANETs; fault detection; fault localization; global fault detection; local fault indicators; supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
ISSN :
1542-1201
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
Type :
conf
DOI :
10.1109/NOMS.2012.6212018
Filename :
6212018
Link To Document :
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