Cognitive flow management for QoS in WLANs

This paper introduces an embedded control system for cognitive flow management of delay sensitive real-time traffic to improve quality of service (QoS) in Wireless Local Area Networks (WLANs). The management system is based on the fuzzy set theory. It adjusts transceivers' traffic flow(s) for prevailing network conditions to achieve application dependent quality of service requirements by regulating packet size and transmission interval of the source node. The model was validated by simulating voice over IP (VoIP) calls, video phone conversations, and interactive games in OM-NeT++ network simulator. The achieved results demonstrate that the developed control system is able to regulate packet sizes and transmission intervals to the prevailing application dependent optimum level very fast, accurately and with minimal overshoot.