A context-aware matching system to improve user-perceived quality

Mobile users currently use a wide range of applications on their mobile devices due to the prevalence and growth of heterogeneous wireless network technologies. However, it is not easy for mobile users to run any application on any device without there being a negative impact in the quality of the application since different applications, content, networks and devices each have varying properties. Such variety can result in a mismatch between the application and the mobile device, and as a result, the application quality cannot be guaranteed for each user. To solve this problem, a context-aware matching system is proposed to improve user-perceived quality in heterogeneous wireless networks. The proposed system allows for applications to be easily used on a suitable mobile device by optimally matching an application to the given mobile device and controlling the quality of the content in the media application on the basis of contextual information. The results of the implementation show that the proposed context-aware matching system can match applications well to the recommended mobile devices. In addition, the proposed system significantly improves the user-perceived quality of applications by adaptively transmitting the corresponding media content.