Loading

A Machine Learning Algorithm for Jitter reduction and Video Quality Enhancement in IoT Environment
J. Jagadessan1, B. Nikita2, G. Deepti Preta3, H. Hari Priya4

1Dr. J. Jagadessan, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Nikita. B, Department of CSE, SRM Institute of Science and Technology , Chennai (Tamil Nadu), India.
3G. Deepti Preta, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4H. Hari Priya, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 667-672 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6204048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Multimedia traffic has been abnormally increasing nowadays due to its greater usage and necessity. CCTV cameras (closed circuit television camera) are widely used in these days as it a matter of security concern. From shopping malls to home the usage CCTV camera plays a vital role. But the challenging part arises when the media data captured by the camera is to be transmitted to the display monitors of the owner. There are scenarios where more than one CCTV camera covers a particular region. The 70% of network traffic is caused due to CCTV surveillance. It is important to reduce the traffic and delay packets to deliver the data to the user on time. We have used wireless SDN network (software defined network) to transfer the multimedia data to the display monitor. The SDN control switch is integrated with AI module where machine learning algorithm is implemented (BAT algorithm) to prioritise the data packets. For more efficient storage data is uploaded to the IOT cloud.
Keywords: Artificial Intelligence (AI), Closed circuit television (CCTV), Internet of Thing (IoT), Software Defined Network (SDN)

Scope of the Article: IoT