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A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

Author

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  • Wangyan Li
  • Zidong Wang
  • Guoliang Wei
  • Lifeng Ma
  • Jun Hu
  • Derui Ding

Abstract

Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally, conclusions are drawn and several potential future research directions are outlined.

Suggested Citation

  • Wangyan Li & Zidong Wang & Guoliang Wei & Lifeng Ma & Jun Hu & Derui Ding, 2015. "A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-12, October.
    • Handle: RePEc:hin:jnddns:683701
    DOI: 10.1155/2015/683701
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    Cited by:

    1. Raquel Caballero-Águila & Aurora Hermoso-Carazo & Josefa Linares-Pérez, 2017. "Fusion Estimation from Multisensor Observations with Multiplicative Noises and Correlated Random Delays in Transmission," Mathematics, MDPI, vol. 5(3), pages 1-20, September.
    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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