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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-g-interdisciplinary</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - G: Interdisciplinary</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/117212.xml" />
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<article-id pub-id-type="doi">10.34257/GJCSTG117212</article-id>
<article-id pub-id-type="publisher-id">117212</article-id>
<title-group>
<article-title>Modeling LoRa Backscatter Communication Range</article-title>
<subtitle>Modeling and Analysis of LoRa Backscatter Networks</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Siaka</surname><given-names>Dr.</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">MALI</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-10-28">
<day>28</day>
<month>10</month>
<year>2025</year>
</pub-date>
<volume>25</volume>
<issue>G1</issue>
<fpage>1</fpage>
<lpage>19</lpage>
<abstract><p>The enhancement of IoT applications for low-power and long-range communication requires developing communication techniques that consume a small amount of power while transmitting at longer distances. LoRa backscatter is a promising solution for such applications. In this work, we will develop a model that helps to estimate the communication range between a LoRa backscatter tag and a receiver. The developed model has been tested by simulation using Python, and the results are validated by comparing the achieved range using our model with state-of-art LoRa backscatter works. We have also extended the model to account for the effect of SNR loss due to direct interference from the transmitter and inter-tag interference from neighbouring tags in concurrent LoRa backscatter systems.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>LoRa backscatter</kwd>
<kwd>low power communication</kwd>
<kwd>IoT</kwd>
<kwd>backscatter communication</kwd>
<kwd>energy harvesting.</kwd>
</kwd-group>
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<title>Full Text</title>
<p>The enhancement of IoT applications for low-power and long-range communication requires the development of communication techniques that consume a small amount of power while transmitting at longer distances. LoRa backscatter is a promising solution for such applications. In this work, we will develop a model that helps to estimate the communication range between a LoRa backscatter tag and a receiver. The developed model has been tested by simulation using Python and the results are validated by comparing the achieved range using our model with state-of-art LoRa backscatter works. We have also extended the model to account for the effect of SNR loss due to both direct interference from the transmitter and inter-tag interference from neighboring tags in concurrent LoRa backscatter systems.</p>
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