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Ad-hoc Kalman Filter Based Fusion Algorithm for Real-Time Wireless Sensor Data Integration

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Flexible Query Answering Systems 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 400))

Abstract

The paper describes a new developed software algorithm based on Kalman filtering for multi sensor data fusion designed for Intelligent Wireless Sensor Networks (IWSN). The proposed algorithm is implemented in set of ZigBee 6LowPan based intelligent wireless sensor modules, managed by custom design data integration software platform with SOA architecture. The system consist of ad-hock generated intelligent wireless sensor network for meteorological data collection (include sensors for air temperature, humidity, solar radiation and barometric pressure) and remote control center. Based on the proposed algorithm, the intelligent sensor nodes in the IWSN execute a cluster based decentralized sensor fusion operations of the raw sensor data which reduce the traffic load, minimize the power consumption, decrease the data noise and increase the reliability of the data sent to the control center.

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Author information

Authors and Affiliations

  1. Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Alexander Alexandrov

Authors
  1. Alexander Alexandrov
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Corresponding author

Correspondence to Alexander Alexandrov .

Editor information

Editors and Affiliations

  1. Dept. of Comm., Business & Info. Tech., Roskilde University, Roskilde, Denmark

    Troels Andreasen

  2. Dept. Computer Science, Roskilde University, Roskilde, Denmark

    Henning Christiansen

  3. Sys Res Intit of Polish Acad of Science, Intelligent Systems Laboratory, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electronic Systems, Aalborg University, Esbjerg, Denmark

    Henrik Larsen

  5. Computer Science Department, University Milano-Biccoca, Milano, Italy

    Gabriella Pasi

  6. IRISA, University of Rennes I, Rennes, France

    Olivier Pivert

  7. Dept. of Tele. & Info. Processing, Ghent University, Gent, Belgium

    Guy De Tré

  8. Dept. of Comp. & Art. Int. Sci., University of Granada, Granada, Spain

    Maria Amparo Vila

  9. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Adnan Yazici

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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© 2016 Springer International Publishing Switzerland

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Alexandrov, A. (2016). Ad-hoc Kalman Filter Based Fusion Algorithm for Real-Time Wireless Sensor Data Integration. In: Andreasen, T., et al. Flexible Query Answering Systems 2015. Advances in Intelligent Systems and Computing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-319-26154-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-26154-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26153-9

  • Online ISBN: 978-3-319-26154-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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