Data networks
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Wireless digital communications: modulation & spread spectrum applications
Wireless digital communications: modulation & spread spectrum applications
Mathematics of Operations Research
Stochastic channel-adaptive rate control for wireless video transmission
Pattern Recognition Letters - Video computing
Ad Hoc Wireless Networks
A Fast Fuzzy-Based (",")-Fair Rate Allocation Algorithm
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
An adaptive rate control algorithm for video coding over personal digital assistants (PDA)
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Rate allocation for multi-user video streaming over heterogenous access networks
Proceedings of the 15th international conference on Multimedia
Optimized video streaming over 802.11 by cross-layer signaling
IEEE Communications Magazine
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
Optimization theoretic-based rate allocation strategies can be used for the aim of allocating some optimal rates to the competing users in wireless ad hoc networks. By considering different objective functions (such as congestion level, total packet loss, etc.), the researchers propose some optimization framework by which the problem can be solved. Due to the rapid increase in the development of different video applications in such environments and the existence of difficulties in satisfying the prespecified QoS limits, increasing the perceived video quality can be considered as an important and challenging issue. The quality of the received video stream is inversely proportional to the amount of distortion which is being imposed on the video stream by the network packet loss and the video encoder. The main contribution of the current paper is to introduce an optimization theoretic framework in which by optimal rate allocation to some competing video sources, the aggregate distortion associated with all of the sources can be minimized. The numerical results verify the claims.