Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Abstract

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems

Fuzzy logic-based implicit authentication for mobile access control

“…Fuzzy Logic has also been used to recognize human action [12] and for dynamic tanker steering control [13]. The authors in [14] presents a Fuzzy Logic based resource-adaptive admission control for network management while [15] utilized Fuzzy Logic to optimize access network selection in wireless networks. Also, a Fuzzy Logic weight estimation method is proposed in [16] to improve security posture in a biometric-enabled co-authentication system in Android platform.…”