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Congestion avoidance and control in sensor network based on fuzzy AQM
When a large number of sensor nodes are transmitting data at the same time, there is a possibility of congestion in a network. Aiming at the problem of packet loss because of sensor network congestion, a novel algorithm for congestion avoidance and control, fuzzy active queue management (FAQM), is p...
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| creator | Luo, Cheng Xie, Weixin Li, Qiusheng |
| description | When a large number of sensor nodes are transmitting data at the same time, there is a possibility of congestion in a network. Aiming at the problem of packet loss because of sensor network congestion, a novel algorithm for congestion avoidance and control, fuzzy active queue management (FAQM), is proposed. The Random Exponential Marking probability of packets and their priority weights are considered in the algorithm to establish a fuzzy logic inference system, regulating the sensor network packets intelligently by the reference result. The simulation experiments show that FAQM can avoid and control the congestion, reduce the dropping rate of high priority packets and stabilize the node's queue length so as to enhance the link utilization ratio and improve the whole network QOS performance. |
| doi_str_mv | 10.1109/ICoSP.2012.6492003 |
| format | conference_proceeding |
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The simulation experiments show that FAQM can avoid and control the congestion, reduce the dropping rate of high priority packets and stabilize the node's queue length so as to enhance the link utilization ratio and improve the whole network QOS performance.</description><subject>Active queue management</subject><subject>Congestion avoidance and control</subject><subject>Delays</subject><subject>Fuzzy logic</subject><subject>fuzzy logic inference</subject><subject>Inference algorithms</subject><subject>Packet loss</subject><subject>Quality of service</subject><subject>Queueing analysis</subject><subject>Random exponential marking</subject><subject>Wireless sensor networks</subject><issn>2164-5221</issn><isbn>9781467321969</isbn><isbn>1467321966</isbn><isbn>1467321974</isbn><isbn>9781467321952</isbn><isbn>1467321958</isbn><isbn>9781467321976</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kMFKAzEYhCMqWOu-gF7yAlvzJ5tkcyxLrYWKinou_2YTidZENqvSPr0L1tMwhxm-GUIugc0AmLleNenpYcYZ8JmqDGdMHJFzqJQWHIyujklhdP3vlTkhEw6qKiXncEaKnN_YGIG6VkJNyKJJ8dXlIaRI8TuFDqN1FGNHbYpDn7Y0RJpdzKmn0Q0_qX-nLWbX0THgv_b7HZ0_3l2QU4_b7IqDTsnLzeK5uS3X98tVM1-XAbQcSmC-lq3u6pFAA3ohJEorNBfWd1JYq0CiQV3pEa_WwJxU2npvQCO246ApufrrDc65zWcfPrDfbQ4viF_lQE3C</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>Luo, Cheng</creator><creator>Xie, Weixin</creator><creator>Li, Qiusheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201210</creationdate><title>Congestion avoidance and control in sensor network based on fuzzy AQM</title><author>Luo, Cheng ; Xie, Weixin ; Li, Qiusheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-10f85b7d800071af335a5c3723cfd53cc615a9a7471888710e567cff917aab673</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Active queue management</topic><topic>Congestion avoidance and control</topic><topic>Delays</topic><topic>Fuzzy logic</topic><topic>fuzzy logic inference</topic><topic>Inference algorithms</topic><topic>Packet loss</topic><topic>Quality of service</topic><topic>Queueing analysis</topic><topic>Random exponential marking</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Luo, Cheng</creatorcontrib><creatorcontrib>Xie, Weixin</creatorcontrib><creatorcontrib>Li, Qiusheng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luo, Cheng</au><au>Xie, Weixin</au><au>Li, Qiusheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Congestion avoidance and control in sensor network based on fuzzy AQM</atitle><btitle>2012 IEEE 11th International Conference on Signal Processing</btitle><stitle>ICoSP</stitle><date>2012-10</date><risdate>2012</risdate><volume>3</volume><spage>2134</spage><epage>2138</epage><pages>2134-2138</pages><issn>2164-5221</issn><isbn>9781467321969</isbn><isbn>1467321966</isbn><eisbn>1467321974</eisbn><eisbn>9781467321952</eisbn><eisbn>1467321958</eisbn><eisbn>9781467321976</eisbn><abstract>When a large number of sensor nodes are transmitting data at the same time, there is a possibility of congestion in a network. Aiming at the problem of packet loss because of sensor network congestion, a novel algorithm for congestion avoidance and control, fuzzy active queue management (FAQM), is proposed. The Random Exponential Marking probability of packets and their priority weights are considered in the algorithm to establish a fuzzy logic inference system, regulating the sensor network packets intelligently by the reference result. The simulation experiments show that FAQM can avoid and control the congestion, reduce the dropping rate of high priority packets and stabilize the node's queue length so as to enhance the link utilization ratio and improve the whole network QOS performance.</abstract><pub>IEEE</pub><doi>10.1109/ICoSP.2012.6492003</doi><tpages>5</tpages></addata></record> |
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| identifier | ISSN: 2164-5221 |
| ispartof | 2012 IEEE 11th International Conference on Signal Processing, 2012, Vol.3, p.2134-2138 |
| issn | 2164-5221 |
| language | eng |
| recordid | cdi_ieee_primary_6492003 |
| source | IEEE Xplore All Conference Series |
| subjects | Active queue management Congestion avoidance and control Delays Fuzzy logic fuzzy logic inference Inference algorithms Packet loss Quality of service Queueing analysis Random exponential marking Wireless sensor networks |
| title | Congestion avoidance and control in sensor network based on fuzzy AQM |
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