IJFCC 2026 Vol.15(1): 25-36
DOI: 10.18178/ijfcc.2026.15.1.629
Development of User-Centric HTTP Adaptive Video Streaming Technique
Temitope A. Komolafe1, Akinola A. Ibikunle1, Sunday Adeola Ajagbe2,3*, Ayodeji O. Oluwatope4,
Korede Israel Adeyanju5, and
Adedayo A. Olayiwola6
1.Department of Computer Engineering, Faculty of Engineering, Redeemer's University, Ede, Nigeria
2.Department of Computer Science, Faculty Science Agriculture and Engineering, University of Zululand, Kwadlangezwa, South Africa
3.Department of Computer Engineering, Faculty Engineering and Technology, Abiola Ajimobi Technical University, Ibadan, Nigeria
4.Department of Computer Engineering, Faculty of Technology, Obafemi Awolowo University, Ile Ife, Nigeria
5.Department of Computing, College of Business, Technology and Engineering, Sheffield Hallam University, Sheffield, United Kingdom
6.Department of Computer Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
Email: komolafet@run.edu.ng (T.A.K.); ibikunleakin@run.edu.ng (A.A.I.); saajagbe@pgschool.lautech.edu.ng (S.A.A.); aoluwato@oauife.edu.ng (A.O.O.); deyanjukorede@gmail.com (K.I.A.); aaolayiwola42@lautech.edu.ng (A.A.O.)
*Corresponding author
Manuscript received January 5, 2026; revised January 22, 2026; accepted March 6, 2026; published April 15, 2026
Abstract—User-perceived Quality of Experience (QoE) is vital in Internet video applications, influencing revenue for content providers and delivery systems. Due to limited network support for QoE optimization, bottlenecks may arise anywhere in the delivery system. Consequently, a robust bitrate adaptation algorithm in client-side players is critical to ensure good user experience. This study proposes a client-side buffer control model for mobile video streaming to enhance QoE under dynamic network conditions, supporting Dynamic Adaptive Streaming over HTTP (DASH). The model employs a Double Leaky Bucket (DLB) traffic shaping scheme with a First-In-First-Out scheduler. A DLB-based algorithm was developed in C++ and simulated using Network Simulator 3 (NS-3) with a trace-based dataset of a 4420-second video comprising 221 segments across 8 representations. Simulation parameters included segment duration, buffer size, packet size, and number of packets. Performance was evaluated using Packet Loss, Jitter, and Throughput metrics, comparing the DLB model to the existing Single Leaky Bucket (SLB) approach. Results showed DLB reduced packet loss from 60.8% to 39.2%, jitter from
53.4% to 46.6%, and increased throughput from 33.7% to 66.3%. These improvements demonstrate that the DLB algorithm significantly enhances mobile video streaming QoE by ensuring smoother playback under fluctuating network conditions.
Keywords—Dynamic Adaptive Streaming over HTTP (DASH), buffer control model, Double Leaky Bucket (DLB), Quality of Experience (QoE), traffic shaping
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Cite: Temitope A. Komolafe, Akinola A. Ibikunle, Sunday Adeola Ajagbe , Ayodeji O. Oluwatope, Korede Israel Adeyanju, and Adedayo A. Olayiwola, "Development of User-Centric HTTP Adaptive Video Streaming Technique," International Journal of Future Computer and Communication, vol. 15, no. 1, pp. 25-36, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
(CC BY 4.0)
