Detailed diagnosis of performance anomalies in sensornets

  • Authors:
  • Tony O'Donovan;Nicolas Tsiftes;Zhitao He;Thiemo Voigt;Cormac J. Sreenan

  • Affiliations:
  • University College Cork;Swedish Institute of Computer Science;Swedish Institute of Computer Science;Swedish Institute of Computer Science;University College Cork

  • Venue:
  • Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
  • Year:
  • 2010

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Abstract

We address the problem of analysing performance anomalies in sensor networks. In this paper, we propose an approach that uses the local flash storage of the motes for logging system data, in combination with online statistical analysis. Our results show not only that this is a feasible method but that the overhead is significantly lower than that of communication-centric methods, and that interesting patterns can be revealed when calculating the correlation of large data sets of separate event types.