Performance Indicators in a 802.11 WLAN Deployment
Organizations and Institutions across the world are increasingly deploying 802.11 based WLAN (in short Wi-Fi) to have mobility benefits in their operations. However, due to the nature of 802.11 technology, there are more number of challenges for an administrator in ensuring the optimum performance l...
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| creator | Gupta, A.K. Dhyani, P. |
| description | Organizations and Institutions across the world are increasingly deploying 802.11 based WLAN (in short Wi-Fi) to have mobility benefits in their operations. However, due to the nature of 802.11 technology, there are more number of challenges for an administrator in ensuring the optimum performance levels for the deployed WLAN compared to a wired network. Degraded performance leads to connectivity problems and low data throughput for wireless clients using the Wi-Fi network. In the presented work, we have identified a set of indicators whose values at any point of time signals a possible degradation in WLAN performance. Each of the identified indicators is explained and the behavior of same is illustrated using an example with respect to presence or absence of performance anomalies in a WLAN deployment. |
| doi_str_mv | 10.1109/ARTCom.2009.203 |
| format | Conference Proceeding |
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Each of the identified indicators is explained and the behavior of same is illustrated using an example with respect to presence or absence of performance anomalies in a WLAN deployment.</description><subject>Artificial intelligence</subject><subject>Clustering algorithms</subject><subject>Color</subject><subject>Communications technology</subject><subject>Computer vision</subject><subject>deployment</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>Machine learning</subject><subject>Pattern recognition</subject><subject>wifi</subject><subject>Wireless LAN</subject><subject>WLAN</subject><isbn>9781424451043</isbn><isbn>1424451043</isbn><isbn>0769538452</isbn><isbn>9780769538457</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjU1Lw0AURUdEUGvWLtzMH0h98958ZJYhai0EFam4LNPJG4g0SUmy6b83oHdxz-LCuULcK1grBf6x_NxVQ7dGAL8UXYhbcNYbKrTBS5F5VyiNWhsFmq5FNk0_sGQZC7A3Aj94TMPYhT6y3PZNG8M8jJNsexlkAbh8yO-6fJNPfDoO5477-U5cpXCcOPvnSny9PO-q17x-32yrss5b5cycG46cMEFM0emGEvjGOz4EG1mzNaZxkZDRWBOCIo14IJVIMxjgQMy0Eg9_3paZ96ex7cJ43htCjxboFzSRRBI</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Gupta, A.K.</creator><creator>Dhyani, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Performance Indicators in a 802.11 WLAN Deployment</title><author>Gupta, A.K. ; Dhyani, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5ecef2f0cfc74d3f09d97eba6ce4e655d7c32e2565aa13422b31f34e050ea3ee3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Artificial intelligence</topic><topic>Clustering algorithms</topic><topic>Color</topic><topic>Communications technology</topic><topic>Computer vision</topic><topic>deployment</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>Machine learning</topic><topic>Pattern recognition</topic><topic>wifi</topic><topic>Wireless LAN</topic><topic>WLAN</topic><toplevel>online_resources</toplevel><creatorcontrib>Gupta, A.K.</creatorcontrib><creatorcontrib>Dhyani, P.</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 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>Gupta, A.K.</au><au>Dhyani, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance Indicators in a 802.11 WLAN Deployment</atitle><btitle>2009 International Conference on Advances in Recent Technologies in Communication and Computing</btitle><stitle>ARTCOM</stitle><date>2009-10</date><risdate>2009</risdate><spage>490</spage><epage>494</epage><pages>490-494</pages><isbn>9781424451043</isbn><isbn>1424451043</isbn><eisbn>0769538452</eisbn><eisbn>9780769538457</eisbn><abstract>Organizations and Institutions across the world are increasingly deploying 802.11 based WLAN (in short Wi-Fi) to have mobility benefits in their operations. However, due to the nature of 802.11 technology, there are more number of challenges for an administrator in ensuring the optimum performance levels for the deployed WLAN compared to a wired network. Degraded performance leads to connectivity problems and low data throughput for wireless clients using the Wi-Fi network. In the presented work, we have identified a set of indicators whose values at any point of time signals a possible degradation in WLAN performance. Each of the identified indicators is explained and the behavior of same is illustrated using an example with respect to presence or absence of performance anomalies in a WLAN deployment.</abstract><pub>IEEE</pub><doi>10.1109/ARTCom.2009.203</doi><tpages>5</tpages></addata></record> |
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| subjects | Artificial intelligence Clustering algorithms Color Communications technology Computer vision deployment Image recognition Image segmentation Machine learning Pattern recognition wifi Wireless LAN WLAN |
| title | Performance Indicators in a 802.11 WLAN Deployment |
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