Assessing the Impact of Media Stream Packet Size Adaptation on Wireless Multimedia Applications
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Published:
Jun 5, 2024
Keywords:
Multimedia, Packet Size, Packet Loss Rate, Media Quality, Peak Signal-to-noise-ratio
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Abstract
Multimedia applications constitute greater percentage of traffic in wireless networks. Thus, require investigation of factors influencing effective delivering of media contents in the future, which will include not only conventional multimedia broadcast, but also video streaming to users on demand while meeting the expected quality requirements. In this article, analysis of effect of media packet size adaptation on quality performance of multimedia application is presented. Experiments were performed using standard test media sequences. The encoded media streams at different packet sizes were transmitted over wireless channel at different channel conditions. The quality performance of received media streams were measured using Peak to Signal Noise Ratio (PSNR) software tool to assess the impact of media packet adaptation on quality performance of multimedia applications. A comparative quality performance under same poor channel condition, shows that small media packet size of 256 bytes recorded the highest received quality performance of 22.52dB, compared to the quality performance of 21.87dB for 384 bytes, 21.37dB for 512 bytes, 20.68dB bytes for 640 bytes and 19.47dB for 768 byes, respectively. The findings show media packet size and channel conditions have significant impact on the quality performance of wireless multimedia applications.
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How to Cite
[1]
U. Ukommi, “Assessing the Impact of Media Stream Packet Size Adaptation on Wireless Multimedia Applications”, AJERD, vol. 7, no. 1, pp. 221-230, Jun. 2024.
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References
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[22] Akpan, I, Ukommi, U, and Enoh, M. (2020). Experiment-based Performance Investigation of Call Admission Control Schemes in Mobile Network Systems. International Journal of Engineering Research & Technology, 9(8), 94-101.
[23] Olufemi, O.I., Ukommi, U. (2024). Evaluation of Energy Consumption and Battery Life Span for LoRa IoT Multisensor Node for Precision Farming Application. Signals and Communication Technology. Springer Nature, Switzerland. 153-162. https://doi.org/10.1007/978-3-031-53935-0_15
[24] Ukommi, U (2022). Dataset on Video Packet Size and Quality Performance. Mendeley Data, V1, doi: 10.17632/5bj78695ry.1
[25] Wiegand, T, Sullivan, G, Bjontegaard, G, & Luthra, A (2003). Overview of the H.264/AVC video coding standard. Circuits and Systems for Video Technology, IEEE Transactions on, 13(1), 560-576.
[26] Ukommi, U (2022). Review of Multimedia Communication Quality Assessment Techniques. Nigerian Journal of Technology (NIJOTECH), 41(2), 330-338.
[27] Kumar, S, Anjaria, K & Sadhwani, D (2021). Performance analysis of efficient digital modulation schemes over various fading channels. International Journal of Electronics and Communications, Elsevier, 141(6), 153963. DOI: 10.1016/j.aeue.2021.153963
[28] Bai, Y, Chu, Y & Ito, M (2009). Dynamic end-to-end QoS support for video over internet. International Journal of Electronics and Communications, Elsevier, 65(5), 385-391.
[29] Lee, Y, Loo J & Chuah, T (2015). Modeling and performance evaluation of resource allocation for LTE femtocell network. Modeling and Simulation of Computer Networks and Systems, Elsevier, 141(1), 683-716.
[2] Singh, J, Singh, G & Vashisht, N, (2023). Evaluating 6G Network Technology Principles and Applications: A Review. 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 1-5, 1-10
[3] Udoh, R, Ukommi, U & Ubom, E (2023). Interference Mitigation In 5G Network Using Frequency Planning and Artificial Neural Network (ANN). Journal of Multidisciplinary Engineering Science and Technology (JMEST), 10(12), 16534-16540.
[4] Oduoye, O, Ukommi, U & Ubom, E (2023). Comparative Analysis of Transceiver Payload Size Impact on The Performance of LoRaBased Sensor Node. Science and Technology Publishing (SCI & TECH), 7(8), 1559-1563.
[5] Udoh, R, Ukommi, U & Ubom, E (2023). Evaluation of Modified Artificial Neural Network-Based Interference Mitigation In 5G Network. Science and Technology Publishing (SCI & TECH), 7(12), 1604-1613.
[6] Ukommi, U (2017). Content-Based Adaptation for Improved Mobile Video Services. International Journal of Electronics Communication and Computer Engineering, 8(3), 185-187.
[7] Etim, A, Ukommi, U & Ubom, E (2023). Comparison of Transmission Range of Lora Transceiver Deployed in Terrestrial and Satellite Communication Links Operating in Some Selected Industrial, Scientific and Medical Frequency Bands. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 10(8), 16313-16316.
[8] Ukommi, U & Ubom, E (2023). Impact Assessment of Elevation Angles on Signal Propagation at VHF and UHF Frequencies for Improved Rural Telephony. ABUAD Journal of Engineering Research and Development (AJERD), 6(2), 136-142.
[9] Ahiara W & Ihekweaba, C. (2023). An Internet of Things (IoT) Based Neighbourhood Distress Alert System. ABUAD Journal of Engineering Research and Development (AJERD), 6(1), 67-75.
[10] Ukommi, U, Ekanem, K, Ubom, E & Udofia, K (2024). Evaluation of Rainfall Rates and Rain-Induced Signal Attenuation for Satellite Communication in the South-South region of Nigeria. Nigerian Journal of Technology (NIJOTECH), 42(4), 472-477.
[11] Ekanem K, Ubom E and Ukommi U. (2022). Analysis of Rain Attenuation for Satellite Communication in Akwa Ibom State, Nigeria. The Nigerian Institute of Electrical and Electronic Engineering (NIEEE) Proceedings of the International Conference and Exhibition on Power and telecommunication (ICEPT 2022), 23-24.
[12] Essien, A., Ukommi, U., Ubom, E. (2024). Downlink Power Budget and Bit Error Analysis for LoRa-Based Sensor Node-to-Satellite Link in the Industrial, Scientific and Medical Frequency Bands. Signals and Communication Technology. Springer Nature, Switzerland. 143-152. https://doi.org/10.1007/978-3-031-53935-0_14
[13] Oyman, O, Foerster, J, Yong-joo, T & Seong-Choon, L (2010). Toward Enhanced Mobile Video Services over WiMAX and LTE. Communications Magazine, IEEE, 48(8), 68-76.
[14] Uloh, C, Ubom, E, Obot A., and Ukommi U. (2024). Interference Mitigation and Power Consumption Reduction for Cell edge users in Future Generation Networks. Journal of Engineering Research and Reports, 26(2), 89-106.
[15] Uko, M, Ekpo, S, Ukommi, U & Kharel, R (2015). Shadowing Effect on Macro-Femto Heterogeneous Network for Cell-Edge Users. Institute of Electrical and Electronics Engineers (IEEE), 31st International Review of Progress in Applied Computational Electromagnetics (ACES), USA, 1-2.
[16] Uko, M, Ukommi, U, Ekpo, S, & Kharel, R (2016). Area Spectral Efficiency of a Macro-femto Heterogeneous Network for Cell-edge Users under Shadowing and Fading Effects. Appl. Computational Electromagnetics. 1043–1047.
[17] Ahmad, Z, Worrall, S & Kondoz, A. (2008). Unequal power allocation for scalable video transmission over WiMAX. IEEE International Conference on Multimedia and Expo, Hannover, Germany, 517-520.
[18] Ukommi, U. (2020). Media Motion-based Resource Distribution for Mobile Video Networking. Nigerian Journal of Technology (NIJOTECH), 39 (4), 1183-1189.
[19] Ke-Ying, L, Jar-Ferr, Y & Ming-Ting, S (2010). Rate-Distortion Cost Estimation for H.264/AVC. Circuits and Systems for Video Technology, IEEE Transactions on, 20(1), 38-49.
[20] Ukommi, U., Kodikara A., Dogan, S., and Kondoz, A. (20130. Content-Aware Bitrate Adaptation for robust mobile video services. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), London, UK, 1-4, doi: 10.1109/BMSB.2013.6621696.
[21] Johansson, A., Esbjornsson, M., Nordquist, P (2019). Dataset on Multichannel Connectivity and Video Transmission on Commercial 3G/4G Networks in South Sweeden. Data in Brief, Elsevier, 25, 1-5.
[22] Akpan, I, Ukommi, U, and Enoh, M. (2020). Experiment-based Performance Investigation of Call Admission Control Schemes in Mobile Network Systems. International Journal of Engineering Research & Technology, 9(8), 94-101.
[23] Olufemi, O.I., Ukommi, U. (2024). Evaluation of Energy Consumption and Battery Life Span for LoRa IoT Multisensor Node for Precision Farming Application. Signals and Communication Technology. Springer Nature, Switzerland. 153-162. https://doi.org/10.1007/978-3-031-53935-0_15
[24] Ukommi, U (2022). Dataset on Video Packet Size and Quality Performance. Mendeley Data, V1, doi: 10.17632/5bj78695ry.1
[25] Wiegand, T, Sullivan, G, Bjontegaard, G, & Luthra, A (2003). Overview of the H.264/AVC video coding standard. Circuits and Systems for Video Technology, IEEE Transactions on, 13(1), 560-576.
[26] Ukommi, U (2022). Review of Multimedia Communication Quality Assessment Techniques. Nigerian Journal of Technology (NIJOTECH), 41(2), 330-338.
[27] Kumar, S, Anjaria, K & Sadhwani, D (2021). Performance analysis of efficient digital modulation schemes over various fading channels. International Journal of Electronics and Communications, Elsevier, 141(6), 153963. DOI: 10.1016/j.aeue.2021.153963
[28] Bai, Y, Chu, Y & Ito, M (2009). Dynamic end-to-end QoS support for video over internet. International Journal of Electronics and Communications, Elsevier, 65(5), 385-391.
[29] Lee, Y, Loo J & Chuah, T (2015). Modeling and performance evaluation of resource allocation for LTE femtocell network. Modeling and Simulation of Computer Networks and Systems, Elsevier, 141(1), 683-716.