Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/10482
Title: | Wifi Analytics |
Authors: | Thakkar, Dhrumil T. |
Keywords: | Computer 2019 Project Report 2019 Computer Project Report Project Report 19MCEI 19MCEI15 INS INS 2019 CE (INS) |
Issue Date: | 1-Jun-2021 |
Publisher: | Institute of Technology |
Series/Report no.: | 19MCEI15; |
Abstract: | Nowadays 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. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/10482 |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
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19MCEI15.pdf | 19MCEI15 | 1.79 MB | Adobe PDF | ![]() View/Open |
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