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Analysis and performance optimization of LoRa network using the CE & SC hybrid approach.

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Title: Analysis and performance optimization of LoRa network using the CE & SC hybrid approach.
Authors: Amzil, Abdellah1, a.amzil@uhp.ac.ma, Bellouch, Abdessamad1, Boujnoui, Ahmed1, Hanini, Mohamed1, Zaaloul, Abdellah2
Source: International Journal of Hybrid Intelligent Systems; 2022, Vol. 18 Issue 1/2, p53-68, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157791019
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Analysis and performance optimization of LoRa network using the CE & SC hybrid approach.
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  Data: <searchLink fieldCode="AU" term="%22Amzil%2C+Abdellah%22">Amzil, Abdellah</searchLink><relatesTo>1</relatesTo>, <i>a.amzil@uhp.ac.ma</i><br /><searchLink fieldCode="AU" term="%22Bellouch%2C+Abdessamad%22">Bellouch, Abdessamad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Boujnoui%2C+Ahmed%22">Boujnoui, Ahmed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hanini%2C+Mohamed%22">Hanini, Mohamed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zaaloul%2C+Abdellah%22">Zaaloul, Abdellah</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Hybrid+Intelligent+Systems%22">International Journal of Hybrid Intelligent Systems</searchLink>; 2022, Vol. 18 Issue 1/2, p53-68, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157791019
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/HIS-220007
    Languages:
      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 53
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      – TitleFull: Analysis and performance optimization of LoRa network using the CE & SC hybrid approach.
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            NameFull: Amzil, Abdellah
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            NameFull: Bellouch, Abdessamad
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            NameFull: Boujnoui, Ahmed
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              Text: 2022
              Type: published
              Y: 2022
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              Value: 14485869
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              Value: 18
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              Value: 1/2
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