It is a problem that many of us encounter, a bad WiFi signal either in parts of our home or in restaurants, coffee shops or hotels.
Researchers at the Tsinghua University in China have tried to establish the reason why WiFi networks falter and have analysed 400 million connections in search of answers.
The alarming result was that the average device fails to pick up a WiFi signal or at reasonable connection 45% of the time.
Lead researcher Changhua Pei said: “The performance and quality of WiFi networks are still far from satisfactory.”
In the study, researchers found that there are several factors influencing signal strength such as high data loads and interference and this even applies to your own home.
The less surprising revelation was that private networks are faster and more reliable than public networks.
Researchers also added that while the strength of your wifi signal is an important part of connecting, the make of your router can have the biggest impact on connecting to wifi.
The group suggest that the best way to solve the issue would be to use AI that would handle WiFi connections.
This would remove human error when it came to selecting and connecting to networks.
“Based on the measurement analysis, we develop a machine learning based AP [access point]selection strategy that can significantly improve WiFi connection set-up performance, against the conventional strategy purely based on signal strength, by reducing the connection set-up failures from 33% to 3.6% and reducing 80% time costs of the connection set-up processes by more than 10 times,” the team wrote.
The findings are merely suggestions at this stage but they are expected to be taken on board and incorporated into smartphone and tablets.