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    Multi-sensor data fusion in wireless sensor networks for planetary exploration

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    Authors
    Zhai, Xiaojun cc
    Jing, Hongyuan
    Vladimirova, Tanya
    Affiliation
    University of Derby
    University of Leicester
    Issue Date
    2014-07-14
    
    Metadata
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    Abstract
    The SWIPE (Space Wireless Sensor Networks for Planetary Exploration) project uses Wireless Sensor Networks (WSN) to characterise the surface of the Moon. The envisaged scenario is that hundreds of small wireless sensor nodes dropped onto the Moon surface will collect scientific measurements. An ad-hoc WSN connecting these nodes will propagate the measurement data to sink nodes for uploading to a lunar orbiter and a subsequent transmission to Earth. The data gathered from the sensors will be processed using state-of-the-art data fusion techniques to overcome the restricted energy and bandwidth resources. In this paper, we first provide a short survey of classical data fusion techniques for WSNs. We then introduce data fusion architectures for the SWIPE project. Building on this, we propose data processing algorithms that enable energy conservation and processing efficiency in the proposed SWIPE architectures. The proposed algorithms are evaluated via a series of simulation models. The results show that the proposed algorithms can efficiently reduce the amount of the transmitted scientific data providing a good level of accuracy in the data reconstruction. Furthermore, they are able to correctly evaluate the node health status.
    Citation
    Zhai, X. et al. (2014) 'Multi-sensor data fusion in wireless sensor networks for planetary exploration', Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014), Leicester, UK, 14-17 July
    Publisher
    IEEE
    Journal
    Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014)
    URI
    http://hdl.handle.net/10545/620814
    DOI
    10.1109/AHS.2014.6880176
    Additional Links
    http://ieeexplore.ieee.org/document/6880176/
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6874772
    http://www2.le.ac.uk/conference/previous/ahs2014
    Type
    Meetings and Proceedings
    Language
    en
    ISBN
    9781479953561
    ae974a485f413a2113503eed53cd6c53
    10.1109/AHS.2014.6880176
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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