Intelligent solution for congestion control in wireless ad hoc networks
Résumé
In this paper, an intelligent solution is proposed for the congestion control in wireless ad hoc network. The presented QoS architecture exploits the fuzzy logic for improving the congestion control in the aim to support voice and video multimedia applications, and non real-time traffic services. We present two techniques: the first one uses a fuzzy logic system to perform the threshold buffer management. The second technique is based on fuzzy Petri nets (FPWICC) for modeling and analyzing the QoS decision making for congestion control in wireless ad hoc network. The performance evaluation was studied under different channel, mobility, and traffic conditions. The simulation results confirm that the intelligent fuzzy logic tool is a promising solution to support QoS for multimedia applications in wireless ad hoc networks.
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