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In this paper, an in-door wireless localization algorithm named i-KWNN based on the KWNN algorithm is presented to solve the side effect of anonymous access points (AAP). Kalman filtering is adopted to enhance the tracking performance by smoothing signal strength. Therefore, the typical signal strength value of an access point can be inferred. The experiments show that this method can indirectly decrease...
Nowadays how to provide efficient on-demand data access has attracted more and more attentions in wireless networks. Aiming at this problem, based on broadcasting nature of wireless channels and multiuser resource allocation, game theory is considered to be one effective approach to deal with wireless data access. Recently Yeung et. al proposed a method based on game theory. However, it did not consider...
Traffic classification is of fundamental importance to track the evolution of network applications and model their behaviours. Further, classified traffic is required to understand how the Internet is being used, and to effectively control the services that traffic receives. In this paper we present a machine-learning approach that accurately classifies live traffic using C4.5 decision tree. By collecting...
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