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    Data aggregation in wireless sensor networks for lunar exploration

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    Authors
    Zhai, Xiaojun cc
    Vladimirova, Tanya
    Affiliation
    University of Derby
    University of Leicester
    Issue Date
    2015-09-03
    
    Metadata
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    Abstract
    This paper presents research work related to the development of Wireless Sensor Networks (WSN) gathering environmental data from the surface of the Moon. Data aggregation algorithms are applied to reduce the amount of the multi-sensor data collected by the WSN, which are to be sent to a Moon orbiter and later to Earth. A particular issue that is of utmost importance to space applications is energy efficiency and a main goal of the research is to optimise the algorithm design so that the WSN energy consumption is reduced. An extensive simulation experiment is carried out, which confirms that the use of the proposed algorithms enhances significantly the network performance in terms of energy consumption compared to routing the raw data. In addition, the proposed data aggregation algorithms are implemented successfully on a System-on-a-chip (SoC) embedded platform using a Xilinx Zynq FPGA device. The data aggregation has two important effects: the WSN life time is extended due to the saved energy and the original data accuracy is preserved. This research could be beneficial for a number of future security related applications, such as monitoring of phenomena that may affect Earth's planetary security/safety as well as monitoring the implementation of Moon treaties preventing establishment of military bases on the lunar surface.
    Citation
    Zhai, X., Vladimirova, T. (2015) 'Data aggregation in wireless sensor networks for lunar exploration', Proceedings of the 6th International Conference on Emerging Security Technologies (EST), Braunschweig, Germany, 3-5 September.
    Publisher
    IEEE
    Journal
    Proceedings of the International Conference on Emerging Security Technologies (EST)
    URI
    http://hdl.handle.net/10545/620812
    DOI
    10.1109/EST.2015.9
    Additional Links
    http://ieeexplore.ieee.org/document/7429267/
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7425427
    Type
    Meetings and Proceedings
    Language
    en
    ISBN
    9781467397995
    ae974a485f413a2113503eed53cd6c53
    10.1109/EST.2015.9
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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