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dc.contributor.authorMiao, Dejun
dc.contributor.authorLiu, Lu
dc.contributor.authorXu, Rongyan
dc.contributor.authorPanneerselvam, John
dc.contributor.authorWu, Yan
dc.contributor.authorXu, Wei
dc.date.accessioned2018-02-09T16:21:20Z
dc.date.available2018-02-09T16:21:20Z
dc.date.issued2018-01-30
dc.identifier.citationMiao, D. et al (2018) 'An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things', IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2018.2799598en
dc.identifier.issn15513203
dc.identifier.doi10.1109/TII.2018.2799598
dc.identifier.urihttp://hdl.handle.net/10545/622119
dc.description.abstractFog Computing is gaining popularity and is being increasingly deployed in various latency-sensitive application domains including industrial IoTs. However, efficient discovery of services is one of the prevailing issues in the fog nodes of indus-trial IoTs which restrain their efficiencies in availing appropriate services to the clients. To address this issue, this paper proposes a novel effi-cient multilevel index model based on equivalence relation, named the DM-index model, for service maintenance and retrieval in the fog layer of industrial IoTs to eliminate redundancy, narrow the search space, reduce both the traversed number of services and retrieval time, ultimately to improve the service discovery efficiency. The efficiency of the proposed index model has been verified theoretically and evaluated experimentally, which demonstrates that the proposed model is effective in achieving much better service discovery and retrieval performance than the sequential and inverted index models.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8272408/en
dc.rightsArchived with thanks to IEEE Transactions on Industrial Informaticsen
dc.subjectMultilevel indexingen
dc.subjectInternet of Thingsen
dc.subjectFog nodesen
dc.subjectEfficiencyen
dc.titleAn efficient indexing model for the fog layer of industrial Internet of Things.en
dc.typeArticleen
dc.identifier.eissn19410050
dc.contributor.departmentYangzhou Universityen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentJiangsu Universityen
dc.contributor.departmentZhenjiang Universityen
dc.identifier.journalIEEE Transactions on Industrial Informaticsen
refterms.dateFOA2019-01-30T00:00:00Z
html.description.abstractFog Computing is gaining popularity and is being increasingly deployed in various latency-sensitive application domains including industrial IoTs. However, efficient discovery of services is one of the prevailing issues in the fog nodes of indus-trial IoTs which restrain their efficiencies in availing appropriate services to the clients. To address this issue, this paper proposes a novel effi-cient multilevel index model based on equivalence relation, named the DM-index model, for service maintenance and retrieval in the fog layer of industrial IoTs to eliminate redundancy, narrow the search space, reduce both the traversed number of services and retrieval time, ultimately to improve the service discovery efficiency. The efficiency of the proposed index model has been verified theoretically and evaluated experimentally, which demonstrates that the proposed model is effective in achieving much better service discovery and retrieval performance than the sequential and inverted index models.


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