Volume 18, No. 6, 2021

Survey On Energy Efficient Mobile Video Streaming Based On Buffer Memory Allocation Algorithms


R.Abirami , Dr. A. Vinayagam

Abstract

The issue of mobile network video streaming is quite well investigated. The increasing use of multimedia content and growing mobile platforms need support for reliable communication services. The communication device has different dynamical issues and also individual features. The transmission limit inclines data transmission to be taken out and the number of intermediate edge nodes. The growing network communication will also encounter an incredible increase in traffic levels and buffer pressures. Many potential customers have limited network connectivity and limited storage capacity. The management of high computational frameworks on resourceconstrained users has currently become a reasonable concern. Mobile Edge Computing (MEC) is a great environment supported across the evolving 5G network and will optimize mobile infrastructure by managing reality apps. It displays the information data before sending it to the cloud by delivering Radio Access Network (RAN) cloud services resources to mobile users in the vicinity and delivering information networks with RAN knowledge. The novel Dynamic Buffer Memory Allocation (DBMS) and video streaming overall supported path allocation from user to server response for supported and reviewed. The transmission findings from realistic video systems validate the model's reliability. This framework serves as an important specification and configuration for implementing an appropriate sensory evaluation for distribution. By maintaining the buffers of different edge nodes, this method improves mobile video streaming in a mobile network.


Pages: 2258-2272

Keywords: Dynamic Buffer Memory Allocation (DBMA), 5Gnetwork, Buffer Memory, Path Allocation, mobile video streaming, mobile network.

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