Measurement-Based Short-Term Performance Prediction in Wireless Mesh Networks
Traditionally, the performance of Wireless Mesh Networks (WMNs) is measured by long-term averaged metrics, such as long-term averaged packet delivery ratio or throughput. However, due to the dynamic nature of the wireless networks, long-term averaged metrics cannot reflect the short-term behaviors of the network. In the meanwhile, the users may require a sustained performance for a certain period of time in many real-time applications. Prediction of network performance of WMNs at the level of individual flows in a small time granularity becomes very important, but is missing in the literature. In this paper, the authors propose a measurement-based model to predict the short-term performance of both good-put and packet loss for individual flows in WMNs.