<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-f-graphics-vision</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - F: Graphics &amp; Vision</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/73472.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">73472</article-id>
<title-group>
<article-title>Cognitive Adaptive Mac Based on Knowledge Based Reasoning For Cognitive Radio Computer Networks</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Pathak</surname><given-names>Dr.Vibhakar</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Roy</surname><given-names>Dr K. C.</given-names></name></contrib>
</contrib-group>
<aff id="aff1">INDIA, suresh gyan vihar university jaipur</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2011-09-13">
<day>13</day>
<month>09</month>
<year>2011</year>
</pub-date>
<volume>11</volume>
<issue>17</issue>
<fpage>35</fpage>
<lpage>40</lpage>
<abstract><p>In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio by combining information held by physical layer and MAC layer with analytical engine based on knowledge based reasoning approach. In the proposed system a cross layer information regarding signal to interference and noise ratio (SINR) and received power are analyzed with help of knowledge based reasoning system to determine minimum power to transmit and size of contention window, to minimize backoff, collision, save power and drop packets. The performance analysis of the proposed protocol indicates improvement in power saving ,lowering backoff and significant decrease in number of drop packets. The simulation environment was implement using OMNET++ discrete simulation tool with Mobilty framework and MiXiM simulation library.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>Cognitive radio</kwd>
<kwd>SDR</kwd>
<kwd>SINR</kwd>
<kwd>Received Power</kwd>
<kwd>MAC</kwd>
<kwd>OMNET++.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume11/5-Cognitive-Adaptive-Mac-Based-on-Knowledge.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/cognitive-adaptive-mac-based-on-knowledge-based-reasoning-for-cognitive-radio-computer-networks/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio by combining information held by physical layer and MAC layer with analytical engine based on knowledge based reasoning approach. In the proposed system a cross layer information regarding signal to interference and noise ratio (SINR) and received power are analyzed with help of knowledge based reasoning system to determine minimum power to transmit and size of contention window, to minimize backoff, collision, save power and drop packets. The performance analysis of the proposed protocol indicates improvement in power saving ,lowering backoff and significant decrease in number of drop packets. The simulation environment was implement using OMNET++ discrete simulation tool with Mobilty framework and MiXiM simulation library.</p>
</sec>
</body>
</article>