Optimization method of multimedia data transmission based on 3G wireless network

Author(s):  
Peixun Liu ◽  
Guifen Chen
2013 ◽  
Vol 859 ◽  
pp. 457-462
Author(s):  
Shu Ru Liu ◽  
Zeng Yu Cai

This paper analyzes several related parameters of multimedia data flow transmission with applied technology in wireless network environment and establishes simulation model in NS2, In view of the low bandwidth, the high error rate and the high delay of wireless networks, Through the simulation analysis of the different packet error rate, the compression quantization parameter, the length of GOP and packet for image quality based on the PSNR evaluation method respectively, the result of the simulation analysis provides the beneficial reference for the wireless network of more effectively in multimedia data transmission.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Shuai Zeng ◽  
Lemin Li ◽  
Dan Liao

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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