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Optimization algorithm based on network congestion control method

Author: FengLi
Tutor: ZhouChuan
School: Nanjing University of Technology and Engineering
Course: Control Theory and Control Engineering
Keywords: Network Congestion Control AQM algorithm Network quality of service Optimization
CLC: TP393.06
Type: Master's thesis
Year: 2012
Downloads: 76
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With the increasing number of network users , likely to cause network congestion or resource shortages which occurred in network performance degradation , which requires avoiding network congestion at the same time, to further improve and optimize its performance. All scholars in the TCP window -based congestion control method of constant research and improvement , we found that the algorithm alone can not effectively achieve the network congestion control , so the intermediate nodes based congestion control method came into being , through constant development, which class method is the most effective one is the active queue management (AQM) algorithm , AQM algorithm can effectively avoid network congestion , and to a certain extent, improve network performance , and various optimization algorithms based AQM algorithm stability in the queue , the model uncertainties and external disturbances robust performance under a clear advantage . This paper proposes several optimization theory based AQM algorithms: ( a ) conventional AQM algorithm for time-varying network parameters and parameter line adjustment , this paper proposes an approach based on self-organizing feature map neural network optimization AQM algorithm, which can changes in network parameters on the control parameters online optimization , NS-2 simulation results show that the algorithm effectively guarantees queue stability and dynamics of the network robustness. ( 2 ) For the state of the network delay and input delay, to design a controller with Time Delay optimization of the system to compensate for delay effectively . The controller parameters optimization goal set by the user may be, the high link utilization, low jitter , high throughput . The target problem into a convex optimization problem , solved by the LMI tools , algorithms, and easy to implement . ( 3 ) Consider the discrete nature of network events , design a discrete AQM algorithms, network system model includes state delay, delay and uncertainties and control signals through rigorous theoretical analysis is given to ensure robust stability necessary and sufficient conditions , simulation results show that the algorithm parameters change in the network can be maintained in case robustness and stability, and also in a multi- bottleneck link can exhibit better performance.

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