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    Efficient data-processing algorithms for wireless-sensor-networks-based planetary exploration

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    Authors
    Zhai, Xiaojun cc
    Vladimirova, Tanya
    Affiliation
    University of Derby
    University of Leicester
    Issue Date
    2016-01
    
    Metadata
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    Abstract
    The Space Wireless Sensor Networks for Planetary Exploration project aims to design a wireless sensor network that consists of small wireless sensor nodes dropped onto the moon surface to collect scientific measurements. Data gathered from the sensors will be processed and aggregated for uploading to a lunar orbiter and subsequent transmission to Earth. In this paper, efficient data-processing/fusion algorithms are proposed, the purpose of which is to integrate the scientific sensor data collected by the wireless sensor network, reducing the data volume without sacrificing the data quality to satisfy energy constraints of wireless-sensor-network nodes operating in the extreme moon environment. The results of an extensive simulation experiment targeted at the Space Wireless Sensor Networks for Planetary Exploration lunar exploration mission are reported, which quantify the performance efficiency of the data-processing scheme. It is shown that the proposed data-processing algorithms can reduce the wireless-sensor-network node energy consumption significantly, decreasing the data transmission energy up to 91%. In addition, it is shown that up to 99% of the accuracy of the original data can be preserved in the final reconstructed data.
    Citation
    Zhai, X., Vladimirova, T. (2016) 'Efficient Data-Processing Algorithms for Wireless-Sensor-Networks-Based Planetary Exploration', Journal of Aerospace Information Systems, 13 (1):46
    Publisher
    American Institute of Aeronautics and Astronautics, Inc.
    Journal
    Journal of Aerospace Information Systems
    URI
    http://hdl.handle.net/10545/620806
    DOI
    10.2514/1.I010373
    Additional Links
    http://arc.aiaa.org/doi/10.2514/1.I010373
    Type
    Article
    Language
    en
    ISSN
    2327-3097
    ae974a485f413a2113503eed53cd6c53
    10.2514/1.I010373
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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