000			02775nam a22001937a 4500
003			NUST
005			20240924122044.0
008			240924b ||||| |||| 00| 0 eng d
082			_a621.382,ASM
100			_aAsmat, Mehran _9126030
245			_aMobile Network Monitoring Application / _cMehran Asmat, Muhammad Ihtesham, Muhammad Jawad Sultan, Ameer Hamza
260			_aMCS, NUST _bRawalpindi _c2024
300			_a62 p
505			_aIn the current digital society, most of the communication and the internet access is accomplished through the mobile networks. Therefore, assuring the best possible network service and reliability has been one of the most prevalent tasks for Android smartphones. The following thesis covers the mobile network monitoring and analysis for Android devices, which is designed to we gather information on the signal strength, network metrics and location-based data. The research begins with drawing an architecture as well as an implementation of the Android application that is responsible for monitoring network performance aspects. The application can access the TelephonyManager and LocationManager APIs to get live data of signal strength, network metrics, and location information. Permission handling is implemented with a focus on user’s privacy and security needs. One of the main parts of the research work consists in network metrics monitoring and diagram analysis, such as download speed, latency and total bytes downloaded. Concerning network testing procedures, the methods consist of having HTTP connections to download according to the specified URLs. Calculations required involves the difference between the time taken to get data from the server (pure network latency) and the total time taken (mostly caused by processing issues). User experience is well cared of in the application terms of the results presentations; this is made available in an intuitive user interface, providing users with actionable insights into their network performance. The effectiveness of the proposed solution is tested by a series of experiment and actual-world situations by steps. In the evaluation of the application’s ability to accurately capture network metrics and provide insightful feedback on an efficient and timely basis, users can understand how the application can contribute to improving user experience and maximizing network efficiency. In the end, the thesis was done to be part of the field of network monitoring and performance analysis on android devices through presenting comprehensive measures which combines real-time data collection, analytics, and visualization.
650			_aUG EE Project _9118090
651			_aBEE-57 _9125983
700			_aSupervisor Dr. Faisal Akram _9125995
942			_2ddc _cPR
999			_c611759 _d611759