Embedded Software Architecture for Diagnosing Network and Node Failures in Wireless Sensor Networks

Authors:
Jukka Suhonen;Mikko Kohvakka;Marko Hännikäinen;Timo D. Hämäläinen
Affiliations:
Department of Computer Systems, Tampere University of Technology, Tampere, Finland FI-33101;Department of Computer Systems, Tampere University of Technology, Tampere, Finland FI-33101;Department of Computer Systems, Tampere University of Technology, Tampere, Finland FI-33101;Department of Computer Systems, Tampere University of Technology, Tampere, Finland FI-33101
Venue:
SAMOS '08 Proceedings of the 8th international workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation
Year:
2008

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Abstract

Wireless Sensor Networks (WSNs) consist of embedded and distributed sensor nodes that operate on harsh operating conditions and with limited energy resources. To ensure the desired level of service, it is essential to detect and correct occurring network and node problems. In this paper, we propose a diagnostics software architecture for WSNs consisting of self-diagnostics on embedded sensor nodes and management tools for network analysis. We define a minimum set of diagnostics information that needs to be collected for analyzing the network errors and performance. To minimize communication overhead, collected information is categorized and only needed categories are requested from nodes. The diagnostics architecture is verified with a practical WSN implementation.