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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-g-interdisciplinary</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - G: Interdisciplinary</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/78589.xml" />
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<article-id pub-id-type="publisher-id">78589</article-id>
<title-group>
<article-title>Priority based Congestion Control Mechanism in Multipath Wireless Sensor Network</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Islam</surname><given-names>Nazrul</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Hoque</surname><given-names>Md. Ahsanul</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Waheed</surname><given-names>Sajjad</given-names></name></contrib>
</contrib-group>
<aff id="aff1">BANGLADESH, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh.</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2014-01-15">
<day>15</day>
<month>01</month>
<year>2014</year>
</pub-date>
<volume>14</volume>
<issue>G5</issue>
<fpage>33</fpage>
<lpage>38</lpage>
<abstract><p>Wireless Sensor Network (WSN) is a network composed of distributed autonomous devices using sensors. Sensor nodes send their collected data to a determined node called Sink. The sink processes data and performs appropriate actions. Nodes using routing protocol determine a path for sending data to sink. Congestion occurs when too many sources are sending too much of data for network to handle. Congestion in a wireless sensor network can cause missing packets, long delay, overall channel quality to degrade, leads to buffer drops. Congestion control mechanism has three phases, namely congestion detection, congestion notification and congestion control. In this paper is propose two bit binary notification flag to notify the congested network status for implicit congestion detection. For congested network status, we propose a priority based rate adjustment technique for controlling congestion in link level. Congested packet will be distributed equally to the child node to avoid packet loss and transition delays based on technique.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>congestion control</kwd>
<kwd>multipath</kwd>
<kwd>weighted fairness</kwd>
<kwd>queue overflow and channel overloading.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume14/5-Priority-based-Congestion-Control-Mechanism.pdf" />
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<p>Wireless Sensor Network (WSN) is a network composed of distributed autonomous devices using sensors. Sensor nodes send their collected data to a determined node called Sink. The sink processes data and performs appropriate actions. Nodes using routing protocol determine a path for sending data to sink. Congestion occurs when too many sources are sending too much of data for network to handle. Congestion in a wireless sensor network can cause missing packets, long delay, overall channel quality to degrade, leads to buffer drops. Congestion control mechanism has three phases, namely congestion detection, congestion notification and congestion control. In this paper is propose two bit binary notification flag to notify the congested network status for implicit congestion detection. For congested network status, we propose a priority based rate adjustment technique for controlling congestion in link level. Congested packet will be distributed equally to the child node to avoid packet loss and transition delays based on technique. Furthermore, this technique allocates the priority of many applications simultaneously running on the sensor nodes, which route is own data as well as the data generated from other sensor nodes. The results show that the proposed technique achieves better normalized throughput and total scheduling rate with the avoiding packet loss and delay.</p>
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