Modeling MPEG VBR video traffic using type-2 fuzzy logic systems
Granular computing
Context sensitive access control
Proceedings of the tenth ACM symposium on Access control models and technologies
Design and performance evaluation of a fuzzy based traffic conditioner for differentiated services
Computer Networks and ISDN Systems
Utilization of structure and concepts in handling network and information management complexity
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Expert Systems with Applications: An International Journal
FLAR: AN ADAPTIVE FUZZY ROUTING ALGORITHM FOR COMMUNICATIONS NETWORKS USING MOBILE ANTS
Cybernetics and Systems
Defining defects, errors, and service degradations
ACM SIGSOFT Software Engineering Notes
GAFO: genetic adaptive fuzzy hop selection scheme for wireless sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Design and performance evaluation of a fuzzy based traffic conditioner for differentiated services
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cognitive network access using fuzzy decision making
IEEE Transactions on Wireless Communications
Channel aware fuzzy logic hop selection for wireless sensor networks
ICT'09 Proceedings of the 16th international conference on Telecommunications
Approximation of stochastic processes by T--S fuzzy systems
Fuzzy Sets and Systems
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
IEEE Transactions on Fuzzy Systems
A novel terminal-controlled handover scheme in heterogeneous wireless networks
Computers and Electrical Engineering
Adaptive congestion control under dynamic weather condition for wireless and satellite networks
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
A fuzzy logic based multi-agents controller
Expert Systems with Applications: An International Journal
Two neuro-fuzzy control schemes for a traffic-regulating buffer in wireless technology
Information Sciences: an International Journal
Fuzzy qos controllers in diff-serv scheduler using genetic algorithms
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Neuro-fuzzy logic in signal processing for communications: from bits to protocols
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
An Improved Fuzzy Unequal Clustering Algorithm for Wireless Sensor Network
Mobile Networks and Applications
Stochastic MIMO channel modelling using FMLP-based inference engine
International Journal of Information and Communication Technology
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The use of fuzzy logic in telecommunication systems and networks is recent and limited. Fundamentally, Zadeh's fuzzy set theory provides a robust mathematical framework for dealing with “real-world” imprecision and nonstatistical uncertainty. Given that the present day complex networks are dynamic, that there is great uncertainty associated with the input traffic and other environmental parameters, that they are subject to unexpected overloads, failures and perturbations, and that they defy accurate analytical modeling, fuzzy logic appears to be a promising approach to address many important aspects of networks. This paper reviews the current research efforts in fuzzy logic-based approaches to queuing, buffer management, distributed access control, load management, routing, call acceptance, policing, congestion mitigation, bandwidth allocation, channel assignment, network management, and quantitative performance evaluation in networks. The review underscores the future potential and promise of fuzzy logic in networks. The paper then presents a list of key research efforts in the areas of fuzzy logic-based algorithms and new hardware and software architectures that are necessary both to address new challenges in networking and to help realize the full potential of fuzzy logic in networks