ICTACT Journal on Communication Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

User-Centric Adaptive Multimedia Streaming in Interactive Communication Networks Using Shannon-Fano Genetic Algorithm


Affiliations
1 Department of Information Technology, St. Joseph’s College of Engineering, India
2 Department of Computer Science and Engineering, P.A. College of Engineering and Technology, India
3 Department of Computer Science and Engineering - Artificial Intelligence and Machine Learning, Malla Reddy College of Engineering, India
4 Department of Electrical and Electronics Engineering, Mai Nefhi College of Engineering and Technology, Eritrea
     

   Subscribe/Renew Journal


In today’s rapidly evolving digital landscape, interactive communication networks play a pivotal role in facilitating real-time interactions among users. One of the critical challenges in these networks is ensuring the seamless delivery of multimedia content that caters to the diverse needs and preferences of individual users. This research endeavors to address this challenge by introducing a novel approach, where it places user satisfaction at its core, leveraging adaptive streaming techniques to dynamically adjust multimedia content delivery. By considering parameters such as network conditions, device capabilities, and user preferences, it optimizes the streaming experience in real-time. A key innovation lies in the integration of Shannon-Fano coding principles and genetic algorithms. Shannon-Fano coding enhances data compression efficiency, reducing bandwidth consumption, while genetic algorithms fine-tune the adaptive streaming parameters for each user. Our experimentation and evaluations demonstrate the effectiveness of this approach, showcasing improved multimedia streaming quality, reduced latency, and efficient bandwidth utilization. The synergy of user-centricity, adaptive streaming, Shannon-Fano coding, and genetic algorithms presents a promising avenue for enhancing multimedia communication in interactive networks.

Keywords

User-Centric, Adaptive Multimedia Streaming, Interactive Communication Networks, Shannon-Fano Coding, Genetic Algorithm.
Subscription Login to verify subscription
User
Notifications
Font Size

  • P.K. Barik and R. Datta, “D2D-Assisted User-Centric Adaptive Video Transmission in Next Generation Cellular Networks”, Physical Communication, Vol. 56, pp. 101944-101956, 2023.

  • P.K. Barik and R. Datta, “Energy-Efficient User-Centric Dynamic Adaptive Multimedia Streaming in 5G Cellular Networks”, Proceedings of National Conference on Communications, pp. 1-6, 2020.

  • P. Falkowski Gilski and T. Uhl, “Current Trends in Consumption of Multimedia Content using Online Streaming Platforms: A User-Centric Survey”, Computer Science Review, Vol. 37, pp. 100268-100277, 2020.

  • N. Ozbek and A. Aricioglu, “Implementation and Quality Assessment of a User-Centric Adaptation System for DASH”, Hittite Journal of Science and Engineering, Vol. 6, No. 3, pp. 179-184, 2019.

  • E. Liotou and N. Passas, “The CASPER User-Centric Approach for Advanced Service Provisioning in Mobile Networks”, Microprocessors and Microsystems, Vol. 77, pp. 103178-103186, 2020.

  • M. Ludewig and D. Jannach, “User-Centric Evaluation of Session-based Recommendations for an Automated Radio Station”, Proceedings of ACM Conference on Recommender Systems, pp. 516-520, 2019.

  • O. Ibert and S. Schmidt, “Platform Ecology: A User‐Centric and Relational Conceptualization of Online Platforms”, Global Networks, Vol. 22, No. 3, pp. 564-579, 2022.

  • Y. Al-Slais and W.M. El-Medany, “User-Centric Adaptive Password Policies to Combat Password Fatigue”, International Arab Journal of Information and Technology, Vol. 19, No. 1, pp. 55-62, 2022.

  • S. Van Damme and F. De Turck, “Enabling User-Centric Assessment and Modelling of Immersiveness in Multimodal Multimedia Applications”, Proceedings of International Conference on Doctoral Consortium, pp. 1-10, 2022.

  • B.G. Seo and D.H. Park, “The Effective Recommendation Approaches depending on User’s Psychological Ownership in Online Content Service: User-Centric Versus Content-Centric Recommendations”, Behaviour and Information Technology, Vol. 67, No. 2, pp. 1-13, 2023.

  • S. Sivamol and K. Suresh, “Personalization Phenom: User-centric Perspectives towards Recommendation Systems in Indian Video Services”, SCMS Journal of Indian Management, Vol. 16, No. 2, pp. 73-86, 2019.

  • S.R. Marri and P.C. Reddy, “A Survey on Streaming Adaptation Techniques for QoS and QoE in Real-Time Video Streaming”, Proceedings of International Conference on Smart Computing and Informatics, pp. 455-465, 2021.

  • T. Preethi and B.Y. Tasisa, “Quantum Annealing-based Routing in UAV Network”, Proceedings of International Conference on Quantum-Safe Cryptography Algorithms and Approaches: Impacts of Quantum Computing on Cybersecurity, pp. 1-13, 2023.

  • S. Gupta, V. Sankaradass and A. Jayanthiladevi, “Development of OCDMA System in Spectral/Temporal/Spatial Domain for Non-Mapping/MS/MD codes”, Journal of Optics, Vol. 45, No. 2, pp. 1-9, 2023.

  • V. Saravanan, and A. Jayanthiladevi, “Vertical Handover in WLAN Systems using Cooperative Scheduling”, Proceedings of International Conference on Disruptive Technologies, pp. 51-56, 2023.

  • M. Kandasamy and A.S. Kumar, “QoS Design using Mmwave Backhaul Solution for Utilising Underutilised 5G Bandwidth in GHz Transmission”, Proceedings of International Conference on Artificial Intelligence and Smart Energy, pp. 1615-1620, 2023.

  • R. Indhumathi, G. Kiruthiga and A. Pandey, “Design of Task Scheduling and Fault Tolerance Mechanism based on GWO Algorithm for Attaining better QoS in Cloud System”, Wireless Personal Communications, Vol. 128, No. 4, pp. 2811-2829, 2023.


Abstract Views: 125

PDF Views: 2




  • User-Centric Adaptive Multimedia Streaming in Interactive Communication Networks Using Shannon-Fano Genetic Algorithm

Abstract Views: 125  |  PDF Views: 2

Authors

Logeshwari Dhavamani
Department of Information Technology, St. Joseph’s College of Engineering, India
A. Kaliappan
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, India
M. Sakthivel
Department of Computer Science and Engineering - Artificial Intelligence and Machine Learning, Malla Reddy College of Engineering, India
V. Balaji
Department of Electrical and Electronics Engineering, Mai Nefhi College of Engineering and Technology, Eritrea

Abstract


In today’s rapidly evolving digital landscape, interactive communication networks play a pivotal role in facilitating real-time interactions among users. One of the critical challenges in these networks is ensuring the seamless delivery of multimedia content that caters to the diverse needs and preferences of individual users. This research endeavors to address this challenge by introducing a novel approach, where it places user satisfaction at its core, leveraging adaptive streaming techniques to dynamically adjust multimedia content delivery. By considering parameters such as network conditions, device capabilities, and user preferences, it optimizes the streaming experience in real-time. A key innovation lies in the integration of Shannon-Fano coding principles and genetic algorithms. Shannon-Fano coding enhances data compression efficiency, reducing bandwidth consumption, while genetic algorithms fine-tune the adaptive streaming parameters for each user. Our experimentation and evaluations demonstrate the effectiveness of this approach, showcasing improved multimedia streaming quality, reduced latency, and efficient bandwidth utilization. The synergy of user-centricity, adaptive streaming, Shannon-Fano coding, and genetic algorithms presents a promising avenue for enhancing multimedia communication in interactive networks.

Keywords


User-Centric, Adaptive Multimedia Streaming, Interactive Communication Networks, Shannon-Fano Coding, Genetic Algorithm.

References