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Cognitive networks embody a sense of dynamic responsiveness as actions are typically taken in response to changing circumstances and changing resource availability, which use prior and current knowledge gained from the network to take actions with respect to the end-to-end goals of the whole network. According to the cognitive network framework, a multi-path routing algorithm based on traffic prediction...
As a cognitive network is forward looking and gains from current and previous information on the network to achieve an intended goal, a routing algorithm, Minimum Workload Routing Algorithm (MWL) in cognitive networks, is proposed, which is depending on the prediction traffic model-MMSE to construct the prediction traffic matrix and select the route with the lightest traffic load which is no more...
Prediction of future spectrum availability of different channels based on history information helps the cognitive radio (CR) switch proactively to the best channel before the appearance of primary user. Most existing proposals of proactive channel access serve as the guidelines of switching channels according to the environmental changes. However, few of them takes account of the drastic cost of channel...
The technology of QoS routing has become a great challenge in wireless mesh networks (WMNs). There exist a lot of literatures on QoS routing in WMNs, but the current algorithms have some deficiencies, such as high complexity, poor scalability and flexibility. To solve the problems above, a multipath routing algorithm based on traffic prediction (MRATP) is proposed in WMNs. MRATP consists of three...
In this paper we apply the nonlinear time series prediction method to the traffic measurements data. Based on the phase space reconstruction, the support vector machine prediction method is used to predict the traffic measurements data, and the neighbor point selection method is used to choose the number of nearest neighbor points for the support vector machine regression model. The experiment results...
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