Adewale, Adeyinka A. and Ben-Obaje, A. and Ekong, E. E. and Orimogunje, Abidemi and Anabi, Hilary Kelechi and Omoruyi, Osemwegie (2019) Subscribers’ Traffic Internet Bandwidth Usage Capture and Classification Using Android Platform. In: International Conference on Engineering for Sustainable World, 2019, Online.
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Abstract
With the rise in smart devices communicating on internet, there is a huge demand in the delivery of internet bandwidth to fulfil subscribers’ aspirations. It is therefore important for internet network providers to understand the subscribers’ behavioural pattern in terms of internet bandwidth usage so as to meet up with the continuous rise in its demand. This research introduces the schematics of an android application effectively communicating with a remote database; Firebase cloud service. The classification of the subscribers’ internet traffic bandwidth consumption enables the android application to generate dataset of bandwidth utilization patterns of volunteered subscribers’ device which are grouped into 4 classes; A, B, C and D representing very high, high, medium and low data usage respectively. The collection of internet bandwidth usage of subscribers was recorded at intervals of every hour into the remote database in Firebase cloud.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Android Mobile App, bandwidth usage, subscribers’ classification |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 08 Oct 2020 10:47 |
| Last Modified: | 08 Oct 2020 10:47 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13644 |
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