Paper Info
Title
A Context-Aware Approach For Multimedia Performance Optimization Using Neural Networks In Wireless Lan Environments
Abstract
Packet size is one of the most important factors that would affect the user-perceived multimedia QoS in the wireless LAN environments. The time-varying channel characteristics make it difficult to find the exact relationship between the packet size and the throughput and decide an optimal packet size in advance. Furthermore, every node would suffer different channel conditions. In this paper, we tackle this problem by an optimization approach. A context-aware framework is designed to optimize the packet size adaptively in order to maximize the throughput. In this approach each node abstracts its specific context via the throughput from the time-varying wireless environments. The obtained throughput information is the instantaneous integrated effect of all contexts in wireless LAN environments. This approach adopts neural networks to learn the complex nonlinear function between the packet size and the throughput and adaptively adjusts the packet size. Simulation results show that out method can cope with the time-varying wireless channel conditions and improve the perceived QoS of wireless multimedia services.
Year
DOI
Venue
2006
10.1109/ICME.2006.262746
2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS
Keywords
Field
DocType
intelligent networks,neural network,error correction,local area network,neural networks,optimization,quality of service,throughput,neural nets
Wireless,Computer science,Network packet,Computer network,Communication channel,Quality of service,Local area network,Wi-Fi array,Throughput,Intelligent Network,Multimedia
Conference
Citations 
PageRank 
References 
2
0.44
3
Authors
3
Name
Order
Citations
PageRank
Po-Chiang Lin113910.26
Chiapin Wang211710.51
T. Lin372467.09