Unifying Sensor Fault Detection with Energy Conservation

  • Lei Fang
  • Simon Dobson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8221)


Wireless sensor networks are attracting increasing interest but suffer from severe challenges such as power constraints and low data reliability. Sensors are often energy-hungry and cannot operate over the long term, and the data they gather are frequently erroneous in complex ways. The two problems are linked, but existing work typically treats them independently: in this paper we consider both side-by-side, and propose a self-organising solution for model-based data collection that reduces errors and communications in a unified fashion.


Wireless Sensor Network Data Entry False Alarm Rate ARIMA Model Remote Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Schurgers, C., Tsiatsis, V., Srivastava, M.: STEM: Topology management for energy efficient sensor networks. In: Proceedings of the 3rd IEEE Aerospace Conference (2002)Google Scholar
  2. 2.
    Liu, C., Wu, K., Tsao, M.: Energy efficient information collection with the ARIMA model in wireless sensor networks. In: Proceedings of the IEEE Global Telecommunications Conference, GLOBECOM 2005 (2005)Google Scholar
  3. 3.
    Sharma, A., Golubchik, L., Govindan, R.: Sensor faults: Detection methods and prevalence in real-world datasets. ACM Transactions on Sensor Networks 6(3), 23–33 (2010)CrossRefGoogle Scholar
  4. 4.
    INTEL: Intel Berkeley Laboratory sensor data set (2004),
  5. 5.
    Kamal, A.R.M., Bleakley, C., Dobson, S.A.: Packet-Level Attestation: a framework for in-network sensor-data reliability. ACM Transactions on Sensor Networks (to appear)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Lei Fang
    • 1
  • Simon Dobson
    • 1
  1. 1.School of Computer ScienceUniversity of St AndrewsUK

Personalised recommendations