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  <doi_batch_id>aspg-18-2682-1792025807</doi_batch_id>
  <timestamp>20261015005647</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
    <abbrev_title>JISIoT</abbrev_title>
    <issn media_type="print">2769-786X</issn>
    <issn media_type="electronic">2690-6791</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>12</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Marwa K.</given_name>
      <surname>Hasan</surname>
      <affiliations>
       <institution>
        <institution_name>Electronic and Control Engineering Department, Technical Engineering College / Kirkuk (TECK), Northern Technical University (NTU), Kirkuk, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we present a novel methodology to improve the performance of collection operations in wireless sensor networks by the application of software-defined networking technology on (SD WISE) platform. The conditions for selecting the grouped nodes in the controller were determined by adjusting the weights of the (Dijekstra) algorithm. The grouped nodes that include the node were determined based on the paths chosen by the algorithm. The SDN-WISE platform supports reading the payload of the packet and not just the header, in addition to the possibility of dealing with a packet depending on another packet, and the flexibility to modify the routing tables to achieve the appropriate rules for the proposed aggregation algorithm. The results show a significant reduction in the energy consumed after applying the novel suggested algorithm.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>18</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2682</item_number>
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     <doi>10.54216/JISIoT.120201</doi>
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