Title :
Performance Indicators in a 802.11 WLAN Deployment
Author :
Gupta, Ajay Kumar ; Dhyani, Prabhash
Author_Institution :
Airtight Networks, Pune, India
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;
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
DOI :
10.1109/ARTCom.2009.203