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dc.contributor.authorXiao, Xinqing
dc.contributor.authorHe, Qile
dc.contributor.authorFu, Zetian
dc.contributor.authorXu, Mark
dc.contributor.authorZhang, Xiaoshuan
dc.date.accessioned2020-02-13T10:41:59Z
dc.date.available2020-02-13T10:41:59Z
dc.date.issued2015-09-14
dc.identifier.citationXiao, 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.2015.09.012en_US
dc.identifier.issn0956-7135
dc.identifier.doi10.1016/j.foodcont.2015.09.012
dc.identifier.urihttp://hdl.handle.net/10545/624471
dc.description.abstractWireless 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.en_US
dc.description.sponsorshipAgro-scientific Researchen_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0956713515301912en_US
dc.relation.urlhttps://curve.coventry.ac.uk/open/file/c7a2611a-51dc-4a24-ae6f-6f115911d556/1/Qile%20HE%20-%20WSN.pdfen_US
dc.relation.urlhttps://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).htmlen_US
dc.rightsCopyright © 2015 Elsevier Ltd. All rights reserved.
dc.rights.urihttps://www.elsevier.com/tdm/userlicense/1.0/
dc.subjectFood safety and traceabilityen_US
dc.subjectCold chain logisticsen_US
dc.subjectMonitoring systemen_US
dc.subjectWireless sensor networken_US
dc.subjectCompressed sensingen_US
dc.titleApplying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logisticsen_US
dc.typeArticleen_US
dc.contributor.departmentChina Agricultural University, Beijing, Chinaen_US
dc.contributor.departmentCoventry Universityen_US
dc.contributor.departmentUniversity of Portsmouthen_US
dc.identifier.journalFood Controlen_US
dc.identifier.piiS0956713515301912
dc.source.journaltitleFood Control
dc.source.volume60
dc.source.beginpage656
dc.source.endpage666
dcterms.dateAccepted2015-09-11
dc.author.detail300211en_US


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