Data networks
Multipoint communication by hierarchically encoded data
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On max-min fair congestion control for multicast ABR service in ATM
IEEE Journal on Selected Areas in Communications
A scalable low-overhead rate control algorithm for multirate multicast sessions
IEEE Journal on Selected Areas in Communications
A general branch-and-bound algorithm for fair division problems
Computers and Operations Research
A lexicographic optimization framework to the flow control problem
IEEE Transactions on Information Theory
Optimal relay assignment for fairness in wireless cooperative networks
International Journal of Ad Hoc and Ubiquitous Computing
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Fair bandwidth allocation is an important issue in the multicast network to serve each multicast traffic at a fair rate commensurate with the receiver's capabilities and the capacity of the path of the traffic. Lexicographically fair bandwidth layer allocation problem is considered and formulated as a nonlinear integer programming problem. A nonincreasing convex function of the bandwidth layers of the virtual sessions is employed to maximize the bandwidth of each virtual session from the smallest. To solve the fairness problem a genetic algorithm (GA) is developed based on the fitness function, ranking selection and the shift crossover. Outstanding performance is obtained by the proposed GA in various multicast networks. The effectiveness of the GA becomes more powerful as the network size increases.