Complexity of gradient projection method for optimal routing in data networks
IEEE/ACM Transactions on Networking (TON)
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Ad hoc on-demand multipath distance vector routing
ACM SIGMOBILE Mobile Computing and Communications Review
Ad Hoc Wireless Networks
Multi-Source Video Transmission with Minimized Total Distortion Over Wireless Ad Hoc Networks
Wireless Personal Communications: An International Journal
Neighborhood topologies in fully informed and best-of-neighborhood particle swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Optimized video streaming over 802.11 by cross-layer signaling
IEEE Communications Magazine
Low-delay rate control for DCT video coding via ρ-domain source modeling
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
An Accurate Low-Complexity Rate Control Algorithm Based on -Domain
IEEE Transactions on Circuits and Systems for Video Technology
An evolutionary-based fuzzy resource assignment strategy for elastic traffic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this work, we take the advantages of the particle swarm optimization method which belongs to the family of swarm intelligence algorithms to find improved solutions for delivering digital video content with enhanced quality of experience to the end users over error-prone multi-hop wireless networks. In video transmission over such wireless networks, many network-based (packet loss, delay, etc.) and source-based (encoding quantization level, etc.) parameters can impair the perceived video quality. The main contributions of the proposed work are twofold. At first, an optimal bandwidth allocation framework is being developed based on the particle swarm optimization algorithm in which by incorporating an accurate video quality metric, the total weighted quality of experience of some competing video sources is being optimized. Secondly, these optimal rates have been used for differentiated quality of experience enforcement between multiple competing scalable video sources. The resulting optimal rates can be used as rate-feedbacks for on-line rate adaptation of a moderate scalable video encoder such as H.264/MPEG4 AVC. The aforementioned weight parameters are selected based on the importance of each video sequence's quality and can be associated with some previous service level agreement based prices. Some guidelines about the practical implementation of the proposed algorithm are given. Numerical analysis has been performed to validate the theoretical results and to verify the claims.