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    Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics

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    Authors
    Xiao, Xinqing
    He, Qile
    Fu, Zetian
    Xu, Mark
    Zhang, Xiaoshuan
    Affiliation
    China Agricultural University, Beijing, China
    Coventry University
    University of Portsmouth
    Issue Date
    2015-09-14
    
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    Abstract
    Wireless Sensor Network (WSN) is applied widely in food cold chain logistics. However, traditional monitoring systems require significant real-time sensor data transmission which will result in heavy data traffic and communication systems overloading, and thus reduce the data collection and transmission efficiency. This research aims to develop a temperature Monitoring System for Frozen and Chilled Aquatic Products (MS-FCAP) based on WSN integrated with Compressed Sending (CS) to improve the efficiency of MS-FCAP. Through understanding the temperature and related information requirements of frozen and chilled aquatic products cold chain logistics, this paper illustrates the design of the CS model which consists of sparse sampling and data reconstruction, and shelf-life prediction. The system was implemented and evaluated in cold chain logistics between Hainan and Beijing in China. The evaluation result suggests that MS-FCAP has a high accuracy in reconstructing temperature data under variable temperature condition as well as under constant temperature condition. The result shows that MS-FCAP is capable of recovering the sampled sensor data accurately and efficiently, reflecting the real-time temperature change in the refrigerated truck during cold chain logistics, and providing effective decision support traceability for quality and safety assurance of frozen and chilled aquatic products.
    Citation
    Xiao, X., He, Q., Fu, Z., Xu, M. and Zhang, X., (2016). 'Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics'. Food Control, 60, pp. 656-666. DOI: 10.1016/j.foodcont.2015.09.012
    Publisher
    Elsevier BV
    Journal
    Food Control
    URI
    http://hdl.handle.net/10545/624471
    DOI
    10.1016/j.foodcont.2015.09.012
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S0956713515301912
    https://curve.coventry.ac.uk/open/file/c7a2611a-51dc-4a24-ae6f-6f115911d556/1/Qile%20HE%20-%20WSN.pdf
    https://researchportal.port.ac.uk/portal/en/publications/applying-cs-and-wsn-methods-for-improving-efficiency-of-frozen-and-chilled-aquatic-products-monitoring-system-in-cold-chain-logistics(68c0d036-1a8b-4746-b26d-05e0cbf113f7).html
    Type
    Article
    Language
    en
    ISSN
    0956-7135
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.foodcont.2015.09.012
    Scopus Count
    Collections
    Derby Business School

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