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  <doi_batch_id>aspg-20-1242-1791307685</doi_batch_id>
  <timestamp>20261006172805</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
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 <body>
  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Wireless and Ad Hoc Communication</full_title>
    <abbrev_title>IJWAC</abbrev_title>
    <issn media_type="electronic">2692-4056</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Modeling of Leopard optimization based Node Localization Technique for Wireless Communication Networks</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Manal M.</given_name>
      <surname>Nasir</surname>
      <affiliations>
       <institution>
        <institution_name>Gwinnett Technical College (GTC), Lawrenceville , GA, 30043, USA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Salim M.</given_name>
      <surname>Hebrisha</surname>
      <affiliations>
       <institution>
        <institution_name>Libyan Iron and Steel Company (LISCO), Misrata, Libya</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Wireless communication inculcates transfer of information not having any physical connection among two or more points. The significant operation of a sensor network becomes collecting and forwarding data to destiny. It is highly crucial to have an awareness regarding the place of collected data. This data is acquired by leveraging localization method in wireless sensor networks (WSNs). Localization is a way of determining the sensor nodes (SNs) location. Localization of SNs turns out to be an exciting research area, and several studies were performed till now. It is very favourable to model scalable, effectual, and low-cost localization systems for WSNs. This study develops a Leopard optimization based Node Localization Technique for Wireless Communication (LONLT-WC). The goal of the LONLT-WC model is to recognize the location of the nodes involved in the network. The LONLT-WC model involves the design of snow leopard optimization (SLO) algorithm, inspired from the characteristics of snow leopards. The presented LONLT-WC approach computes the unidentified location of the nodes utilizing anchor nodes in the network with the accomplishment of least error rate. The experimental analysis of the LONLT-WC model involves a series of simulations and the results highlighted the betterment of the presented technique.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>84</first_page>
     <last_page>96</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1242</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/IJWAC.040204</doi>
     <resource>https://americaspg.com/journal/20/article/1242</resource>
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       <resource mime_type="application/pdf">https://americaspg.com/storage/1849.pdf</resource>
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  </journal>
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