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  <doi_batch_id>aspg-3-3447-1791419449</doi_batch_id>
  <timestamp>20261008003049</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>18</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>CORRECTED VERSION: Integrating a Secure and Low-Cost WSN Layer with Medical Cloud Computing for Medical Image Transmission</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Israa Hussain Abd</given_name>
      <surname>Alla</surname>
      <affiliations>
       <institution>
        <institution_name>Ministry of Education, Open Educational College, Baghdad, Al-Karkh-3, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Falath</given_name>
      <surname>M.Mohammed</surname>
      <affiliations>
       <institution>
        <institution_name>College of Education for Humanities, Geography Department, Ramadi, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Saif Al-din M.</given_name>
      <surname>N</surname>
      <affiliations>
       <institution>
        <institution_name>University of Anbar, College of Computer and Information Technology, Ramadi, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Azmi Shawkat</given_name>
      <surname>Abdulbaqi</surname>
      <affiliations>
       <institution>
        <institution_name>University of Anbar, Renewable Energy Research Center, Ramadi, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Throughout a Wireless Sensor Network (WSN), information collected from the environment is continuously transmitted from one node to the next, and then the main collector or server receives and processes it. With the growth of a network, data transfers within the network also grow dramatically. Medical images increase traffic on a network if they are transmitted. An interlayer transmission protocol (WSN) was developed for this study. Pixels are used to create the medical image using the protocol. A gray-level medical image with 512x512 pixels provided by Brain was used to conduct the study. Medical image size is reduced from 256 KB to 192 KB, providing a 25% advantage. A study found SSIM of 51, 1365 and PSNR of 0,9976 for the structural similarity ratio (SSIM). The Advanced Encryption Standard (AES) encryption algorithm safeguards data during the transfer. By creating such a layer, transmissions became safer. In the WSNs, 12.5% and 25% of the data transfer has been reduced based on the information obtained from the study without changing the medical image.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>35</first_page>
     <last_page>48</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3447</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/FPA.180103</doi>
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