Data networks
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
End-to-end congestion control for the internet: delays and stability
IEEE/ACM Transactions on Networking (TON)
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Multi-Source Video Transmission with Minimized Total Distortion Over Wireless Ad Hoc Networks
Wireless Personal Communications: An International Journal
EURASIP Journal on Wireless Communications and Networking
Computers and Electrical Engineering
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Providing fairness is one of the most important requirements of a rate assignment strategy. Many fairness criteria have been proposed by different researchers. A fuzzy-based rate allocation strategy is proposed which can provide a wide range of fairness criteria (such as proportional, minimum potential delay, and max min) in the network. The algorithm is superior to conventional algorithms in convergence speed. Stability analysis is performed using suitable Lyapunov functions. In this algorithm, users can adjust their gain parameters in the rate allocation algorithm, using a fuzzy controller based on some information that is received from network. The stability of the algorithm is also investigated in the presence of propagation delays. As simulation results show, the proposed rate allocation method, while maintaining stability, outperforms the conventional ones in the rate of convergence.