Title: Compressed Sensing Video Streaming for Internet of Multimedia Things
Issue Number: | Vol. 6, No. 1 |
Year of Publication: | March - 2017 |
Page Numbers: | 44-53 |
Authors: | Ahmed Elshafeey, Neamat S.Abd Elkader, M.zorkany |
Journal Name: | International Journal of Cyber-Security and Digital Forensics (IJCSDF) - Hong Kong |
DOI: http://dx.doi.org/10.17781/P002242
Abstract:
Multimedia over the Internet of Things (IoT) is posing challenges and opportunities for multimedia transmission. An essential test for supporting interactive multimedia applications in the Internet of Things (IoT) is the bandwidth limitation available on the internet. Bandwidth limitation and minimum quality of multimedia over the internet, especially video are the main challenges on Internet of Multimedia Things (IoMT). This paper introduces a solution to these problems. The main idea of proposed method depends on changing the compression ratio based on the available bandwidth of IoT. The proposed method depends on the Compressed Sensing (CS) technique. The proposed CS video technique depends on monitoring the available bandwidth on the internet and the quality of the video. In this paper, the proposed monitoring technique depends on measuring the quality of multimedia via quality and bandwidth controllers. The simulation results show the efficiency of the proposed solution in IoMT