Modeling and analysis of TXOP differentiation in infrastructure-based WLANs
The Access Point (AP) is the bottleneck of infrastructure-based Wireless Local Area Networks (WLANs) due to its responsibility for forwarding all the incoming and outgoing frames. As a result, the network performance is significantly deteriorated by the unbalanced traffic loads at AP and other mobil...
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Veröffentlicht in: | Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2011-08, Vol.55 (11), p.2545-2557 |
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creator | Min, Geyong Hu, Jia Woodward, Mike E. |
description | The Access Point (AP) is the bottleneck of infrastructure-based Wireless Local Area Networks (WLANs) due to its responsibility for forwarding all the incoming and outgoing frames. As a result, the network performance is significantly deteriorated by the unbalanced traffic loads at AP and other mobile stations. A potential solution to the bottleneck problem is to assign different Transmission Opportunity (TXOP) limits to the AP and mobile stations, respectively. This study develops a new analytical model to investigate the Quality-of-Service (QoS) performance metrics including throughput, total frame delay, and frame loss probability in infrastructure-based WLANs with TXOP differentiation under the unbalanced traffic loads. To this end, the transmission queue is modeled as a bulk service queueing system in order to address the challenge of queueing analysis arising from the TXOP burst transmission mechanism. The accuracy of this model is validated through extensive NS2 simulation experiments. The analytical results demonstrate that the implementation of TXOP differentiation can substantially alleviate the bottleneck effects of unbalanced traffic loads, increase the aggregate throughput and decrease the frame delay and loss probability. Moreover, the developed model can be adopted as a cost-efficient tool to evaluate the impact of TXOP limits on the network performance and to investigate the optimal setting of TXOP limits under different working conditions. |
doi_str_mv | 10.1016/j.comnet.2011.04.015 |
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As a result, the network performance is significantly deteriorated by the unbalanced traffic loads at AP and other mobile stations. A potential solution to the bottleneck problem is to assign different Transmission Opportunity (TXOP) limits to the AP and mobile stations, respectively. This study develops a new analytical model to investigate the Quality-of-Service (QoS) performance metrics including throughput, total frame delay, and frame loss probability in infrastructure-based WLANs with TXOP differentiation under the unbalanced traffic loads. To this end, the transmission queue is modeled as a bulk service queueing system in order to address the challenge of queueing analysis arising from the TXOP burst transmission mechanism. The accuracy of this model is validated through extensive NS2 simulation experiments. The analytical results demonstrate that the implementation of TXOP differentiation can substantially alleviate the bottleneck effects of unbalanced traffic loads, increase the aggregate throughput and decrease the frame delay and loss probability. Moreover, the developed model can be adopted as a cost-efficient tool to evaluate the impact of TXOP limits on the network performance and to investigate the optimal setting of TXOP limits under different working conditions.</description><identifier>ISSN: 1389-1286</identifier><identifier>EISSN: 1872-7069</identifier><identifier>DOI: 10.1016/j.comnet.2011.04.015</identifier><identifier>CODEN: CNETDP</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Access point ; Applied sciences ; Business and industry local networks ; Differentiation ; Equipments and installations ; Exact sciences and technology ; Frames ; Infrastructure ; Local area networks ; Medium access control ; Miscellaneous ; Mobile radiocommunication systems ; Networks ; Networks and services in france and abroad ; Quality of service ; Queueing analysis ; Queues ; Radiocommunications ; Studies ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. Isdn ; Traffic congestion ; Traffic engineering ; Traffic flow ; Transmission and modulation (techniques and equipments) ; TXOP ; Unbalanced traffic ; Wireless access points ; Wireless communication ; Wireless communications</subject><ispartof>Computer networks (Amsterdam, Netherlands : 1999), 2011-08, Vol.55 (11), p.2545-2557</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Aug 4, 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-194311e9fae1ef530f56c34d66e4dc0833ffa3a7647262cb2887769e6033a0ad3</citedby><cites>FETCH-LOGICAL-c427t-194311e9fae1ef530f56c34d66e4dc0833ffa3a7647262cb2887769e6033a0ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.comnet.2011.04.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24315483$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Min, Geyong</creatorcontrib><creatorcontrib>Hu, Jia</creatorcontrib><creatorcontrib>Woodward, Mike E.</creatorcontrib><title>Modeling and analysis of TXOP differentiation in infrastructure-based WLANs</title><title>Computer networks (Amsterdam, Netherlands : 1999)</title><description>The Access Point (AP) is the bottleneck of infrastructure-based Wireless Local Area Networks (WLANs) due to its responsibility for forwarding all the incoming and outgoing frames. As a result, the network performance is significantly deteriorated by the unbalanced traffic loads at AP and other mobile stations. A potential solution to the bottleneck problem is to assign different Transmission Opportunity (TXOP) limits to the AP and mobile stations, respectively. This study develops a new analytical model to investigate the Quality-of-Service (QoS) performance metrics including throughput, total frame delay, and frame loss probability in infrastructure-based WLANs with TXOP differentiation under the unbalanced traffic loads. To this end, the transmission queue is modeled as a bulk service queueing system in order to address the challenge of queueing analysis arising from the TXOP burst transmission mechanism. The accuracy of this model is validated through extensive NS2 simulation experiments. The analytical results demonstrate that the implementation of TXOP differentiation can substantially alleviate the bottleneck effects of unbalanced traffic loads, increase the aggregate throughput and decrease the frame delay and loss probability. Moreover, the developed model can be adopted as a cost-efficient tool to evaluate the impact of TXOP limits on the network performance and to investigate the optimal setting of TXOP limits under different working conditions.</description><subject>Access point</subject><subject>Applied sciences</subject><subject>Business and industry local networks</subject><subject>Differentiation</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Frames</subject><subject>Infrastructure</subject><subject>Local area networks</subject><subject>Medium access control</subject><subject>Miscellaneous</subject><subject>Mobile radiocommunication systems</subject><subject>Networks</subject><subject>Networks and services in france and abroad</subject><subject>Quality of service</subject><subject>Queueing analysis</subject><subject>Queues</subject><subject>Radiocommunications</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. Isdn</subject><subject>Traffic congestion</subject><subject>Traffic engineering</subject><subject>Traffic flow</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>TXOP</subject><subject>Unbalanced traffic</subject><subject>Wireless access points</subject><subject>Wireless communication</subject><subject>Wireless communications</subject><issn>1389-1286</issn><issn>1872-7069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkUtLHUEQhQcx4CP5By6GgGQ1k-rH9GMTEDFRco1ZGHTXtN3V0pe506Z7JuC_T1-uuMgiQhVVi69OwTlNc0KgJ0DE53Xv0mbCuadASA-8BzLsNYdESdpJEHq_7kzpjlAlDpqjUtYAwDlVh8336-RxjNNjaydf247PJZY2hfb2_uZn62MImHGao51jmtq4rZBtmfPi5iVj92AL-vZudfajvG_eBTsW_PAyj5tfXy9uzy-71c23q_OzVec4lXNHNGeEoA4WCYaBQRiEY9wLgdw7UIyFYJmVgksqqHugSkkpNApgzIL17Lj5tNN9yun3gmU2m1gcjqOdMC3FaJCaCz7IN0mlBZESiK7kx3_IdVpytaNCUnItmWAV4jvI5VRKxmCectzY_GwImG0SZm12SZhtEga4qUnUs9MXbVucHat9k4vl9ZZWOwautvJfdhxW8_5EzKa4iJNDHzO62fgU___oL_KJntg</recordid><startdate>20110804</startdate><enddate>20110804</enddate><creator>Min, Geyong</creator><creator>Hu, Jia</creator><creator>Woodward, Mike E.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>E3H</scope><scope>F2A</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20110804</creationdate><title>Modeling and analysis of TXOP differentiation in infrastructure-based WLANs</title><author>Min, Geyong ; Hu, Jia ; Woodward, Mike E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-194311e9fae1ef530f56c34d66e4dc0833ffa3a7647262cb2887769e6033a0ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Access point</topic><topic>Applied sciences</topic><topic>Business and industry local networks</topic><topic>Differentiation</topic><topic>Equipments and installations</topic><topic>Exact sciences and technology</topic><topic>Frames</topic><topic>Infrastructure</topic><topic>Local area networks</topic><topic>Medium access control</topic><topic>Miscellaneous</topic><topic>Mobile radiocommunication systems</topic><topic>Networks</topic><topic>Networks and services in france and abroad</topic><topic>Quality of service</topic><topic>Queueing analysis</topic><topic>Queues</topic><topic>Radiocommunications</topic><topic>Studies</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Teleprocessing networks. Isdn</topic><topic>Traffic congestion</topic><topic>Traffic engineering</topic><topic>Traffic flow</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>TXOP</topic><topic>Unbalanced traffic</topic><topic>Wireless access points</topic><topic>Wireless communication</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Min, Geyong</creatorcontrib><creatorcontrib>Hu, Jia</creatorcontrib><creatorcontrib>Woodward, Mike E.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer networks (Amsterdam, Netherlands : 1999)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Min, Geyong</au><au>Hu, Jia</au><au>Woodward, Mike E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling and analysis of TXOP differentiation in infrastructure-based WLANs</atitle><jtitle>Computer networks (Amsterdam, Netherlands : 1999)</jtitle><date>2011-08-04</date><risdate>2011</risdate><volume>55</volume><issue>11</issue><spage>2545</spage><epage>2557</epage><pages>2545-2557</pages><issn>1389-1286</issn><eissn>1872-7069</eissn><coden>CNETDP</coden><abstract>The Access Point (AP) is the bottleneck of infrastructure-based Wireless Local Area Networks (WLANs) due to its responsibility for forwarding all the incoming and outgoing frames. As a result, the network performance is significantly deteriorated by the unbalanced traffic loads at AP and other mobile stations. A potential solution to the bottleneck problem is to assign different Transmission Opportunity (TXOP) limits to the AP and mobile stations, respectively. This study develops a new analytical model to investigate the Quality-of-Service (QoS) performance metrics including throughput, total frame delay, and frame loss probability in infrastructure-based WLANs with TXOP differentiation under the unbalanced traffic loads. To this end, the transmission queue is modeled as a bulk service queueing system in order to address the challenge of queueing analysis arising from the TXOP burst transmission mechanism. The accuracy of this model is validated through extensive NS2 simulation experiments. The analytical results demonstrate that the implementation of TXOP differentiation can substantially alleviate the bottleneck effects of unbalanced traffic loads, increase the aggregate throughput and decrease the frame delay and loss probability. Moreover, the developed model can be adopted as a cost-efficient tool to evaluate the impact of TXOP limits on the network performance and to investigate the optimal setting of TXOP limits under different working conditions.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.comnet.2011.04.015</doi><tpages>13</tpages></addata></record> |
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subjects | Access point Applied sciences Business and industry local networks Differentiation Equipments and installations Exact sciences and technology Frames Infrastructure Local area networks Medium access control Miscellaneous Mobile radiocommunication systems Networks Networks and services in france and abroad Quality of service Queueing analysis Queues Radiocommunications Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Traffic congestion Traffic engineering Traffic flow Transmission and modulation (techniques and equipments) TXOP Unbalanced traffic Wireless access points Wireless communication Wireless communications |
title | Modeling and analysis of TXOP differentiation in infrastructure-based WLANs |
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