FTAM: A Fuzzy Traffic Adaptation Model for Wireless Mesh Networks

Wireless mesh networks (WMNs) are considered as the next step towards providing a high-bandwidth network over a specific coverage area. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous multimedia applications such as video and audio real-time applications. These applications usually require time-bounded service and bandwidth guarantee. Therefore, there is a vital need to provide Quality of Service (QoS) support in order to assure better quality delivery. However, providing QoS support for real-time traffic in WMNs presents a number of significant technical challenges. In this paper, we focus on one of the most critical technical issues in QoS support, by proposing a novel QoS traffic adaptation model based on fuzzy logic theory, named FTAM, which is capable of supporting real-time traffic such as video and voice services. By monitoring the rate of change in queue length in addition to the current length of the queue, FTAM is able to provide a good measurement of the future queue state, and then to achieve the convenient traffic adaptation according to the network state.