An Intelligent Wireless QoS Technology for Big Data Video Delivery in WLAN

Dharm Singh Jat, Lal Chand Bishnoi and Shoopala Nambahu
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Dharm Singh Jat: Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia
Lal Chand Bishnoi: Government Polytechnic College, Bikaner, India
Shoopala Nambahu: Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

International Journal of Ambient Computing and Intelligence (IJACI), 2018, vol. 9, issue 4, 1-14

Abstract: With the development of internet technologies and applications, video becomes the main source of online generated data. Real-time generated big data video on the internet have many challenges, which include broadcast, evaluation, storage, analysis, and transmission. For multimedia applications, processing and communication are important areas to realizing ambient intelligence and Quality of Service (QoS) is a major challenge for designing and implementation of processing and communication of multimedia traffic. In this study, simulation results have verified the possibility and effectiveness of the developed intelligent wireless QoS technology in terms of big data video communication over a Wireless Local Area Network (WLAN). Structural Similarity Index (SSIM) and Video Quality Metric (VQM) video quality matrixes are used for measurement of received video at receiver. The results show that dynamics frame aggregation mechanism improve the big data video delivery for SSIM and VQM in comparison to frame aggregation mechanism defined by the draft of IEEE802.11n WLAN.

Date: 2018
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