A congestion control scheme based on Smith principle and fuzzy control

A congestion control scheme based on Smith principle and fuzzy control

A congestion control scheme based on combination of Smith principle and fuzzy control is proposed. The fuzzy controller is based on differences of queues length and drop probability of packets. The Smith controller provides effective offset of TCP networks to reduce influence of time delay to system...

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1. Verfasser: Fuzhe Zhao
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Sprache:eng
Schlagworte:
Adaptive control
Congestion
Control systems
Delay effects
Feedback control
Fuzzy control
Lyapunov method
Programmable control
Robust control
Robust stability
Simith Principle
Stability analysis
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creator Fuzhe Zhao
description A congestion control scheme based on combination of Smith principle and fuzzy control is proposed. The fuzzy controller is based on differences of queues length and drop probability of packets. The Smith controller provides effective offset of TCP networks to reduce influence of time delay to system by using system feedback control. By Lyapunov method analysis, the stability of the congestion control scheme is proved. Simulation results indicate the congestion control scheme based on Smith principle and fuzzy control improves stability and robustness of system comparing with congestion control schemes (Such as PI controller and Adaptive RED with Fastlink).
doi_str_mv 10.1109/ICFCC.2010.5497409
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Simulation results indicate the congestion control scheme based on Smith principle and fuzzy control improves stability and robustness of system comparing with congestion control schemes (Such as PI controller and Adaptive RED with Fastlink).</description><identifier>ISBN: 9781424458219</identifier><identifier>ISBN: 1424458218</identifier><identifier>EISBN: 9781424458233</identifier><identifier>EISBN: 1424458242</identifier><identifier>EISBN: 1424458234</identifier><identifier>EISBN: 9781424458240</identifier><identifier>DOI: 10.1109/ICFCC.2010.5497409</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive control ; Congestion ; Control systems ; Delay effects ; Feedback control ; Fuzzy control ; Lyapunov method ; Programmable control ; Robust control ; Robust stability ; Simith Principle ; Stability analysis</subject><ispartof>2010 2nd International Conference on Future Computer and Communication, 2010, Vol.2, p.V2-287-V2-291</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5497409$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5497409$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fuzhe Zhao</creatorcontrib><title>A congestion control scheme based on Smith principle and fuzzy control</title><title>2010 2nd International Conference on Future Computer and Communication</title><addtitle>ICFCC</addtitle><description>A congestion control scheme based on combination of Smith principle and fuzzy control is proposed. The fuzzy controller is based on differences of queues length and drop probability of packets. The Smith controller provides effective offset of TCP networks to reduce influence of time delay to system by using system feedback control. By Lyapunov method analysis, the stability of the congestion control scheme is proved. Simulation results indicate the congestion control scheme based on Smith principle and fuzzy control improves stability and robustness of system comparing with congestion control schemes (Such as PI controller and Adaptive RED with Fastlink).</description><subject>Adaptive control</subject><subject>Congestion</subject><subject>Control systems</subject><subject>Delay effects</subject><subject>Feedback control</subject><subject>Fuzzy control</subject><subject>Lyapunov method</subject><subject>Programmable control</subject><subject>Robust control</subject><subject>Robust stability</subject><subject>Simith Principle</subject><subject>Stability analysis</subject><isbn>9781424458219</isbn><isbn>1424458218</isbn><isbn>9781424458233</isbn><isbn>1424458242</isbn><isbn>1424458234</isbn><isbn>9781424458240</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVT8tOwzAQNEJIoJIfgIt_IMXrR2wfq4hApUocyr1yNxtqlEcVh0P79QRRDsxlHtKsdhh7ALEEEP5pXVZluZRi9kZ7q4W_Ypm3DrTU2jip1PU_D_6WZSl9ihnayMKYO1atOA79B6UpDv2PnMah5QkP1BHfh0Q1n_NtF6cDP46xx3hsiYe-5s3X-Xz6a9yzmya0ibILL9i2en4vX_PN28u6XG3y6MWUkyiwAL-XRV1bRUEpcMK6gA0G4QCdFK7RqAKgbgq0IFXwDkBpa61BtWCPv1cjEe3md7ownnaX7eobGlZMgA</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Fuzhe Zhao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>A congestion control scheme based on Smith principle and fuzzy control</title><author>Fuzhe Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e06c619b26dd73ea3318078acfca081c8208f4c3a1c4f6c7123a9811347775c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive control</topic><topic>Congestion</topic><topic>Control systems</topic><topic>Delay effects</topic><topic>Feedback control</topic><topic>Fuzzy control</topic><topic>Lyapunov method</topic><topic>Programmable control</topic><topic>Robust control</topic><topic>Robust stability</topic><topic>Simith Principle</topic><topic>Stability analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Fuzhe Zhao</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/IET Electronic Library (IEL)</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>Fuzhe Zhao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A congestion control scheme based on Smith principle and fuzzy control</atitle><btitle>2010 2nd International Conference on Future Computer and Communication</btitle><stitle>ICFCC</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>V2-287</spage><epage>V2-291</epage><pages>V2-287-V2-291</pages><isbn>9781424458219</isbn><isbn>1424458218</isbn><eisbn>9781424458233</eisbn><eisbn>1424458242</eisbn><eisbn>1424458234</eisbn><eisbn>9781424458240</eisbn><abstract>A congestion control scheme based on combination of Smith principle and fuzzy control is proposed. The fuzzy controller is based on differences of queues length and drop probability of packets. The Smith controller provides effective offset of TCP networks to reduce influence of time delay to system by using system feedback control. By Lyapunov method analysis, the stability of the congestion control scheme is proved. Simulation results indicate the congestion control scheme based on Smith principle and fuzzy control improves stability and robustness of system comparing with congestion control schemes (Such as PI controller and Adaptive RED with Fastlink).</abstract><pub>IEEE</pub><doi>10.1109/ICFCC.2010.5497409</doi></addata></record>
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subjects Adaptive control
Congestion
Control systems
Delay effects
Feedback control
Fuzzy control
Lyapunov method
Programmable control
Robust control
Robust stability
Simith Principle
Stability analysis
title A congestion control scheme based on Smith principle and fuzzy control
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