Fault management in event-driven wireless sensor networks

Authors:
Linnyer Beatrys Ruiz;Isabela G. Siqueira;Leonardo B. e Oliveira;Hao Chi Wong;José Marcos S. Nogueira;Antonio A. F. Loureiro
Affiliations:
Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
Venue:
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Year:
2004

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Abstract

Wireless Sensor Networks (WSNs) have emerged as a new monitoring and control solution for a variety of applications. Although the behavior of a WSN is characterized by the type of its application, a common element exist: faults are a normal fact, not isolated events as in traditional networks. Thus, in order to guarantee the network quality of service it is essential for the WSN to be able to detect failures and perform something akin to healing, recovering from events that might cause some of its parts to malfunction. In this work we propose and evaluate a failure detection scheme using a management architecture for WSNs, called MANNA. We take a deep look at its fault management capabilities supposing the existence of an event-driven WSN. This is a challenging and attractive kind of WSN and we show how the use of automatic management services defined by MANNA can provide self-configuration, self-diagnostic, and self-healing (some of the self-managing capabilities). We also show that the management solution promote the resources productivity without incurring a high cost to the network.