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A Survey on Distributed Filtering and Fault Detection for Sensor Networks

Author

Listed:
  • Hongli Dong
  • Zidong Wang
  • Steven X. Ding
  • Huijun Gao

Abstract

In recent years, theoretical and practical research on large-scale networked systems has gained an increasing attention from multiple disciplines including engineering, computer science, and mathematics. Lying in the core part of the area are the distributed estimation and fault detection problems that have recently been attracting growing research interests. In particular, an urgent need has arisen to understand the effects of distributed information structures on filtering and fault detection in sensor networks. In this paper, a bibliographical review is provided on distributed filtering and fault detection problems over sensor networks. The algorithms employed to study the distributed filtering and detection problems are categorised and then discussed. In addition, some recent advances on distributed detection problems for faulty sensors and fault events are also summarized in great detail. Finally, we conclude the paper by outlining future research challenges for distributed filtering and fault detection for sensor networks.

Suggested Citation

  • Hongli Dong & Zidong Wang & Steven X. Ding & Huijun Gao, 2014. "A Survey on Distributed Filtering and Fault Detection for Sensor Networks," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, January.
  • Handle: RePEc:hin:jnlmpe:858624
    DOI: 10.1155/2014/858624
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    Cited by:

    1. Qi Yang & Xuan Zhang & Jingfeng Qian & Qiang Ye, 2018. "An anomaly node detection method for distributed time synchronization algorithm in cognitive radio sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(5), pages 15501477187, May.
    2. María Jesús García-Ligero & Aurora Hermoso-Carazo & Josefa Linares-Pérez, 2020. "Distributed Fusion Estimation with Sensor Gain Degradation and Markovian Delays," Mathematics, MDPI, vol. 8(11), pages 1-19, November.

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