This paper outlines our proposal for a novel meta-cognitive-based scaffolding classifier, namely Recurrent Classifier (rClass). rClass is capable of emulating three fundamental pillars of human learning in terms of what-to-learn, how-to-learn, and when-to-learn. The cognitive constituent of rClass is underpinned by a recurrent network based on a generalized version of the Takagi Sugeno Kang (TSK) fuzzy system […]

Investigation of small-scale fading in indoor peer-to-peer networks based on radio channel measurements shows that Rayleigh or double Rayleigh (DR) fading with or without line-of-sight (LOS) component can occur, depending on the mobility and on the scattering properties of the environment. While in double-mobile scenarios, the predominant fading mechanism is a combination of Rayleigh and DR fading, […]

In general, an access point (AP) in wireless local area networks (WLANs) can be easily congested since all related data traffic goes through it. To satisfy the quality of service (QoS) requirement for its customers, protocol-independent redundancy elimination (RE) technique can effectively mitigate the congestion at the AP by reducing redundant data traffic. In this paper, we […]