Effect of Multiple Constraints on Multimedia Data Transmission in High Efficiency Video Coder (HEVC)

2019 ◽  
Author(s):  
Krishan Kumar ◽  
Rajender Kumar ◽  
Amit Kant Pandit
Keyword(s):  
Data Transmission ◽  
High Efficiency ◽  
Multimedia Data ◽  
Multiple Constraints ◽  
Video Coder ◽  
Multimedia Data Transmission

scholarly journals A Distributed Flow Rate Control Algorithm for Networked Agent System with Multiple Coding Rates to Optimize Multimedia Data Transmission

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Shuai Zeng ◽  
Lemin Li ◽  
Dan Liao
Keyword(s):  
Flow Rate ◽  
Rate Control ◽  
Data Transmission ◽  
Control Algorithm ◽  
Multimedia Data ◽  
Rate Data ◽  
Agent System ◽  
Rate Control Algorithm ◽  
Multimedia Data Transmission ◽  
Flow Rate Control

With the development of wireless technologies, mobile communication applies more and more extensively in the various walks of life. The social network of both fixed and mobile users can be seen as networked agent system. At present, kinds of devices and access network technology are widely used. Different users in this networked agent system may need different coding rates multimedia data due to their heterogeneous demand. This paper proposes a distributed flow rate control algorithm to optimize multimedia data transmission of the networked agent system with the coexisting various coding rates. In this proposed algorithm, transmission path and upload bandwidth of different coding rate data between source node, fixed and mobile nodes are appropriately arranged and controlled. On the one hand, this algorithm can provide user nodes with differentiated coding rate data and corresponding flow rate. On the other hand, it makes the different coding rate data and user nodes networked, which realizes the sharing of upload bandwidth of user nodes which require different coding rate data. The study conducts mathematical modeling on the proposed algorithm and compares the system that adopts the proposed algorithm with the existing system based on the simulation experiment and mathematical analysis. The results show that the system that adopts the proposed algorithm achieves higher upload bandwidth utilization of user nodes and lower upload bandwidth consumption of source node.

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