Cloud assisted approach for determining wifi problems infield deployed mesh APs- a case study for quality problems

The analysis of the WiFi problems, in terms of quality, of home users causes very high costs to manufacturers and service providers. The detection of problems is very difficult due to the variety of wireless devices and protocols. In this context, within the scope of this thesis, repetition of the problems and providing the necessary data for solutions have been made with controlled tests. Often these problems are tried to be solved by developing new software. However, these solutions require a long time and cause unwanted costs. Instead, cloud computing has started to be used to respond to on-site and faster problems. Although cloud computing can be considered a good solution to these problems, collecting and analyzing such data is quite challenging. In this study, the field problems are investigated in a controllable test environment and pro-active solutions are proposed via a cloud-based approach in this manner