DocumentCode
2352369
Title
Performance Indicators in a 802.11 WLAN Deployment
Author
Gupta, Ajay Kumar ; Dhyani, Prabhash
Author_Institution
Airtight Networks, Pune, India
fYear
2009
fDate
27-28 Oct. 2009
Firstpage
490
Lastpage
494
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.
Keywords
wireless LAN; 802.11 technology; WLAN; Wi-Fi; Artificial intelligence; Clustering algorithms; Color; Communications technology; Computer vision; Image recognition; Image segmentation; Machine learning; Pattern recognition; Wireless LAN; WLAN; deployment; performance; wifi;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
Conference_Location
Kottayam, Kerala
Print_ISBN
978-1-4244-5104-3
Electronic_ISBN
978-0-7695-3845-7
Type
conf
DOI
10.1109/ARTCom.2009.203
Filename
5329260
Link To Document