Proceedings of the fourth international symposium on Integrated network management IV
Principle Components and Importance Ranking of Distributed Anomalies
Machine Learning
Promise theory - a model of autonomous objects for pervasive computing and swarms
ICNS '06 Proceedings of the International conference on Networking and Services
Autonomic Computing
Self-configurable fault monitoring in ad-hoc networks
Ad Hoc Networks
Security and Cooperation in Wireless Networks: Thwarting Malicious and Selfish Behavior in the Age of Ubiquitous Computing
Ontology-based knowledge representation for self-governing systems
DSOM'06 Proceedings of the 17th IFIP/IEEE international conference on Distributed Systems: operations and management
Fault monitoring in ad-hoc networks based on information theory
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
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Fault detection is a crucial issue in autonomic networks for identifying unreliable nodes and reducing their impact on the network availability and performance. We propose in this paper to improve this situation based on the concept of promised cooperation. We exploit the promise theory framework to model voluntary cooperation among network nodes and make them capable of expressing the trust in their measurements during the detection process. We integrate this scheme into several distributed detection methods in the context of ad-hoc networks implementing the OLSR routing protocol. We quantify how the fault detection performances can be increased using this approach based on an extensive set of experimentations performed under the ns-2 network simulator.