Multicasting for multimedia applications
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
Multicast routing for multimedia communication
IEEE/ACM Transactions on Networking (TON)
Probability, stochastic processes, and queueing theory: the mathematics of computer performance modeling
QoS routing in networks with uncertain parameters
IEEE/ACM Transactions on Networking (TON)
QoS routing in networks with inaccurate information: theory and algorithms
IEEE/ACM Transactions on Networking (TON)
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WOWMOM '99 Proceedings of the 2nd ACM international workshop on Wireless mobile multimedia
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An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
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Proceedings of the 5th International Conference on Genetic Algorithms
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Evolutionary Computation
End to end QoS provisioning multimedia wireless/mobile networks using an adaptive framework
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USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Improvement of handoff in wireless networks using mobility prediction and multicasting techniques
EHAC'05 Proceedings of the 4th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
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GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
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With increasing demand for real-time services in next generation wireless networks, quality-of-service (QoS)-based routing offers significant challenges. Multimedia applications like video conferencing, real-time streaming of stock quotes or processing of scientific images relayed from satellites require strict QoS guarantee (e.g. bandwidth, delay) while communicating among multiple hosts. This gives rise to the need for an efficient multicast routing protocol which will be able to determine multicast routes satisfying the different QoS constraints. Design of such protocol boils down to a multi-objective optimization problem, which is computationally intractable. In fact, discovering optimal multicast routes is an NP-hard problem when the network state information is inaccurate - a common scenario in mobile wireless networks. In this paper, we propose a novel multicast tree selection algorithm that determines near-optimal multicast routes on demand. Based on the multi-objective genetic algorithmic (MOGA) approach, our solution attempts to optimize multiple QoS parameters (e.g. end-to-end delay, bandwidth guarantee and residual bandwidth utilization) simultaneously. We mathematically analyze the performance and convergence of the developed algorithm. Simulation results demonstrate that our algorithm is capable of discovering on-demand a set of QoS-based, near-optimal multicast routes within a few iterations, even with imprecise network information. From these set of routes one can choose the best possible multicast route depending on the specified QoS requirements.