Can Eyupoglu

Work place: Istanbul Commerce University, Department of Computer Engineering, Istanbul, 34840, Turkey

E-mail: ceyupoglu@ticaret.edu.tr

Website:

Research Interests: Computer systems and computational processes, Image Compression, Image Manipulation, Network Security, Image Processing, Data Structures and Algorithms

Biography

Can Eyupoglu received his B.Sc. degree (with high honor) in Computer Engineering and Minor degree in Electronics Engineering from Istanbul Kultur University, Istanbul, Turkey in 2012. He completed his M.Sc. degree in Computer Engineering from Istanbul University, Istanbul, Turkey in 2014. He is a Ph.D. candidate in Istanbul University, Department of Computer Engineering. He has been working as a Research Assistant in Istanbul Commerce University, Department of Computer Engineering since 2013. His research interests include optical networks, network security, computer arithmetic, big data and image processing.

Author Articles
Modelling and Implementation of Network Coding for Video

By Can Eyupoglu Ugur Yesilyurt

DOI: https://doi.org/10.5815/ijcnis.2016.08.01, Pub. Date: 8 Aug. 2016

In this paper, we investigate Network Coding for Video (NCV) which we apply for video streaming over wireless networks. NCV provides a basis for network coding. We use NCV algorithm to increase throughput and video quality. When designing NCV algorithm, we take the deadline as well as the decodability of the video packet at the receiver. In network coding, different flows of video packets are packed into a single packet at intermediate nodes and forwarded to other nodes over wireless networks. There are many problems that occur during transmission on the wireless channel. Network coding plays an important role in dealing with these problems. We observe the benefits of network coding for throughput increase thanks to applying broadcast operations on wireless networks. The aim of this study is to implement NCV algorithm using C programming language which takes the output of the H.264 video codec generating the video packets. In our experiments, we investigated improvements in terms of video quality and throughput at different scenarios.

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