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논문검색

A Fault Detection Technique based on Numerical Taxonomy in WSNs

초록

영어

Failures are inevitable in wireless sensor networks due to the fragile features and unattended deployment. To explore an effectual technique for node’s fault detection caused by energy consumption, a new algorithm, Fault Detection Technique based on Numerical Taxonomy (FDNT) is proposed in this paper. The algorithm is deployed on the sink node with unconstrained energy consumption and is on the basis of dividing WSNs into clusters according to their geographical distribution. Simulation results indicate that this algorithm can get high detection accuracy and will consume less energy.

목차

Abstract
 1. Introduction
 2. Related work
  2.1. Fault detection in WSNs
  2.2. NDHN algorithm
 3. Fault detection technique based on numerical taxonomy
  3.1. Principle of FDNT
  3.2. Assumptions
  3.3. Procedure of FDNT
 4. Simulation and Discussions
  4.1. Design of simulation experiment
  4.2. Discussions
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Song Jia School of Information and Electrical Engineering Harbin Institute of Technology at Weihai, Shandong, China, Automatic Test and Control Institute Harbin Institute of Technology, Harbin, China
  • Wang Bailing School of Computer Science and Technology Harbin Institute of Technology at Weihai, Shandong, China
  • Peng Xiyuan Automatic Test and Control Institute Harbin Institute of Technology, Harbin, China

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