Using Temporal Correlation for Fault Localization in Dynamically Changing Networks

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Executive Summary

A mobile ad-hoc network creates a dynamic environment where node mobility can cause periodic changes in routes. Most existing fault localization algorithms assume availability of complete and/or deterministic dependency model. Such assumptions can not be made in the dynamically changing networks. This paper is aimed at developing a fault diagnosis architecture and algorithm to address the issue of dynamically changing dependencies in networks. The authors propose an architecture to capture the changes in the dependencies and introduce a temporal correlation algorithm to perform fault diagnosis with the dynamically changing dependency information. They present an experimental evaluation of the work through simulation results using Qualnet.

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