Positioning Using WiFi
Name
Nikita Bahhir
Abstract
This thesis looks into the problem of outdoor positioning and whether WiFi can be used to estimate the position. The most popular method of estimating position using GPS can be unreliable in certain situations, such as cloudy weather or a high density of buildings. We tried using the abundance of WiFi networks to offer an alternative way of estimating positioning.
Here, we show the app, which acts as a tool for positioning and data analysis, and the results of using the app in cities, along with its accuracy. The results revealed that GPS accuracy is still better overall, but the app could still be used in situations where GPS is unavailable. On several occasions, the WiFi positioning produced better results than GPS. In the end, there is still a lot of improvement space, but the app could already be used in the cities to get a fairly accurate position and gather useful data.
Here, we show the app, which acts as a tool for positioning and data analysis, and the results of using the app in cities, along with its accuracy. The results revealed that GPS accuracy is still better overall, but the app could still be used in situations where GPS is unavailable. On several occasions, the WiFi positioning produced better results than GPS. In the end, there is still a lot of improvement space, but the app could already be used in the cities to get a fairly accurate position and gather useful data.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Danielle Melissa Morgan
Defence year
2024