Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10482
Full metadata record
DC FieldValueLanguage
dc.contributor.authorThakkar, Dhrumil T.-
dc.date.accessioned2022-01-19T10:09:47Z-
dc.date.available2022-01-19T10:09:47Z-
dc.date.issued2021-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/10482-
dc.description.abstractNowadays the use of WiFi as primary network interface in android TV (ATV) is increasing tremendously. Quality of experience (QoE) has become a key requirement for the end users. There are several factors that may a_ect the WiFi QoE such as throughput issues, connectivity issues, and latency issues. Due to home WiFi, numbers of applications and activity can a_ect. So this project will enhance WiFi logging such as connectivity state logging, verbose logging, etc. Based on raw data it performs analysis and diagnostic which will detect issues and provides a recommendation to improve the quality. It also provides multiple interface to upload raw data for remote management and monitoring tools.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries19MCEI15;-
dc.subjectComputer 2019en_US
dc.subjectProject Report 2019en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject19MCEIen_US
dc.subject19MCEI15en_US
dc.subjectINSen_US
dc.subjectINS 2019en_US
dc.subjectCE (INS)en_US
dc.titleWifi Analyticsen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

Files in This Item:
File Description SizeFormat 
19MCEI15.pdf19MCEI151.79 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.