Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Case study: a maintenance practice used with real-time telecommunications software
Journal of Software Maintenance: Research and Practice
Fuzzy Control
An Approach to Internet-Based Virtual Call Center Implementation
ICN '01 Proceedings of the First International Conference on Networking-Part 1
Applying Computational Intelligence for Congestion Avoidance of High-Speed Networks
FTDCS '99 Proceedings of the 7th IEEE Workshop on Future Trends of Distributed Computing Systems
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Study of Traffic Flow Forecasting Based on Genetic Neural Network
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Communication Protocol Engineering
Communication Protocol Engineering
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Brief paper: A neuro-adaptive congestion control scheme for round trip regulation
Automatica (Journal of IFAC)
Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
Multiple modeling and fuzzy predictive control of a tubular heat exchanger system
WSEAS Transactions on Systems and Control
Fuzzy explicit marking: A unified congestion controller for Best-Effort and Diff-Serv networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Guaranteed Cost Networked Control for T–S Fuzzy Systems With Time Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Identification of complex systems based on neural and Takagi-Sugeno fuzzy model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Effective control of traffic flow in ATM networks using fuzzy explicit rate marking (FERM)
IEEE Journal on Selected Areas in Communications
A real-time transportation prediction system
Applied Intelligence
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Most of the research effort in the field of HAP communications until now has been invested in the physical layer of the protocol stack, and in the radio related issues in particular. However, the overall system throughput is limited by the performance of the transport layer. Since HAPs will be used in networks with different topological complexity, various kinds of wireless communications links, bit error rates, and various mixtures of multimedia traffic, the control flow in such networks may present itself as a non-linear and stochastic process. Therefore we introduced a fuzzy control of the throughput in the TCP. Our approach is based on the off-line synthesis of the Takagi-Sugeno fuzzy controller based on the simulation data and on-line flow control by the synthesized controller that is built in the conventional TCP. In the paper we present the ns2-based simulation results.