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  <doi_batch_id>aspg-20-4387-1791307622</doi_batch_id>
  <timestamp>20261006172702</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <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>2026</year>
    </publication_date>
    <journal_volume>
     <volume>10</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Edge-Bandwidth Brokerage for RFID-Enabled Ad Hoc IoT Communication Networks</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Salah-ddine</given_name>
      <surname>KRIT</surname>
      <affiliations>
       <institution>
        <institution_name>Professor of Computer Science, Ibn Zohr University, Agadir, Morocco</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>RFID-enabled IoT deployments often lose communication efficiency not because a single tag message is large, but because tag observations are repeated, partially redundant, and reported by overlapping readers. In an edgecomputing environment, this redundancy becomes a bandwidth-governance problem: the local gateway must decide what is worth forwarding, what can be compressed, and what should be kept only as short-term local evidence. This article presents an edge-bandwidth brokerage model for RFID-assisted ad hoc IoT communication networks. The proposed model, named BASER, interprets every tag read as a priced communication event whose forwarding value depends on novelty, duplication risk, priority, motion context, and instantaneous backhaul pressure. The paper develops a three-stage mathematical formulation for value construction, budgeted admission, and adaptive compression. A reproducible scenario analysis is used to study how tag density, mobility, edge load, and uplink capacity affect latency, loss, semantic retention, and energy consumption. The main finding is that bandwidth savings should not be treated as a blind compression target; instead, the edge node should act as a broker that protects meaningful RFID events while preventing repeated low-value reads from saturating the uplink.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>51</first_page>
     <last_page>57</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4387</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.100207</doi>
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