On the application of fuzzy-based flow control approach to High Altitude Platform communications

Applied Intelligence

Volumn 34, Issue 2, 2011, Pages 199-210

  Basicevic, Ilija ^a   Kukolj, Dragan ^a   Popovic, Miroslav ^a  

^a UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Fuzzy controller synthesis; Fuzzy logic model; High Altitude Platforms; TCP flow control

Indexed keywords

CONTROL APPROACH; CONTROL FLOWS; FUZZY CONTROLLERS; FUZZY LOGIC MODEL; HIGH ALTITUDE PLATFORM; HIGH ALTITUDE PLATFORMS; MULTIMEDIA TRAFFIC; NON-LINEAR; ON-LINE FLOW; PHYSICAL LAYERS; PROTOCOL STACK; RESEARCH EFFORTS; SIMULATION DATA; SIMULATION RESULT; STOCHASTIC PROCESS; SYSTEM THROUGHPUT; TAKAGI-SUGENO FUZZY CONTROLLERS; TCP FLOW CONTROL; TOPOLOGICAL COMPLEXITY; TRANSPORT LAYERS; WIRELESS COMMUNICATIONS;

CHANNEL CODING; CONTROLLERS; FLOW CONTROL; FUZZY CONTROL; FUZZY LOGIC; RANDOM PROCESSES; TRANSMISSION CONTROL PROTOCOL; WIRELESS TELECOMMUNICATION SYSTEMS;

ALTITUDE CONTROL;

EID: 79956122664     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-009-0190-y     Document Type: Article

References (33)

1. Chrysostomou C, Pitsillides A, Hadjipollas G, Polycarpou M, Sekerciogh A (2004) Congestion control in differentiated services networks using fuzzy logic. In: Proc. of 43rd IEEE conference on decision and control, December 14-17, 2004, Atlantis, Paradise Island, Bahamas, pp 549-556 (Pubitemid 40291390)
2. Chrysostomou C, Pitsillides A, Sekercioglu YA (2009) Fuzzy explicit marking: A unified congestion controller for Best-Effort and Diff-Serv networks. Comput Netw 53:650-667
3. Chrysostomou C, Pitsillides A, Rossides L, Polycarpou M, Sekercioglu A (2003) Congestion control in differentiated services networks using Fuzzy-RED. Control Eng Pract 11:1153-1170 (Pubitemid 37245376)
4. Coello Coello CA, Lechuga MS (2003) MOPSO: A proposal for multiple objective particle swarm optimization. In: IEEE proceedings world congress on computational intelligence, 2003, pp 1051-1056
5. De Rango F, Tropea M, Marano S (2006) Integrated services on high altitude platform: Receiver driven smart selection of HAP-geo satellite wireless access segment and performance evaluation, Int J Wirel Inf Netw 13(1). doi:10.1007/s10776-005-0020-z
6. Frantti T (2005) Cascaded fuzzy congestion controller for TCP/IP traffic. J Adv Comput Intell Intell Inf 9(2)
7. Galily M, Roudsari FH, Riazi A (2005) Applying fuzzy sliding mode control based on genetic algorithms to congestion avoidance in computer network. Int J Inf Technol 11(10):27-36
8. GanM, Dorner E, Schiller J (1999) Applying computational intelligence for congestion avoidance of high-speed networks. In: Proceedings of the 7th IEEE workshop on future trends of distributed computing systems, 1999
9. Houmkozlis CN, Rovithakis GA (2008) A neuro-adaptive congestion control scheme for round trip regulation. Automatica 44:1402-1410
10. Jacobson FS Van (1993) Random early detection (RED) gateways for congestion avoidance. IEEE/ACM Trans Netw 1(4):397-413. doi:10.1109/90.251892
11. Jil T, Pang Q, Liu X (2006) Study of traffic flow forecasting based on genetic neural network. In: Proceedings of the sixth international conference on intelligent systems design and applications (ISDA'06) 2006, vol 1, pp 960-965 (Pubitemid 47178963)
12. Karthik S, Venkatesh C, Natarajan AM (2004) Congestion control in ATM networks using fuzzy logic. In: Proceedings of the 18th international parallel and distributed processing symposium (IPDPS'04), 2004
13. Kukolj D (2002) Design of adaptive Takagi-Sugeno-Kang fuzzy model. Appl Soft Comput 2(2):89-103 (Pubitemid 40421591)
14. Kukolj D, Levi E (2004) Identification of complex systems based on neural and Takagi-Sugeno fuzzy model. IEEE Trans Syst Man Cybern 34(1):272-282. doi:10.1109/TSMCB. 2003.811119
15. Kukolj D, Atlagic B, Petrov M (2006) Unlabeled data clustering using a re-organizing neural network. Cybern Syst Int J 37(7):779-790. doi:10.1080/01969720600887152 (Pubitemid 44825266)
16. Lin W, Wong A, Dillon T (2005) A novel Fuzzy Logic Controller (FLC) for shortening the TCP channel roundtrip time by eliminating user buffer overflow adaptively. In: Proceedings of the 28th Australasian computer science conference (ACSC2005) Newcastle, Australia, vol. 38, pp. 29-38
17. Mazinan AH, Sadati N (2008) Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system. In: International conference on application of electrical engineering, 2008, pp 77-81
18. Mazinan AH, Sadati N (2008) Multiple modeling and fuzzy predictive control of a tubular heat exchanger system. Trans Syst Control 3:249-258
19. Mazinan AH, Sadati N (2008) Fuzzy multiple models predictive control of tubular heat exchanger. In: Proc. of IEEE world congress on computational intelligence, 2008, pp 1845-1852
20. Natsheh E, Jantan AB, Khatun S, Subramaniam S (2007) Intelligent reasoning approach for active queue management in wireless ad hoc networks. Int J Bus Data Commun Netw 3(1):16-35
21. Nyirenda CN, Dawoud DS (2007) Fuzzy logic congestion control in IEEE 802.11 wireless local area networks: A performance evaluation
22. Passino KM, Yurkovich S (1998) Fuzzy control. Addison-Wesley Longman, Menlo Park
23. Pitsillides A, Sekercioglu A (1999) Fuzzy logic based congestion control
24. Pitsillides A, Sekercioglu YA, Ramamurthy G (1997) Effective control of traffic flow in ATM networks using fuzzy logic based explicit rate marking (FERM). IEEE J Sel Areas Commun 15(2):209-225 (Pubitemid 127576226)
25. Popovic M (2006) Communication protocol engineering. CRC Press, Boca Raton, ISBN 0849398142
26. Popovic M, Kovacevic V (2001) An approach to internet-based virtual call center implementation. In: Lorenz P (ed) Networking, part I. Lecture notes in computer science. Springer, New York, pp 75-84 (Pubitemid 33304381)
27. Popovic M, Atlagic B, Kovacevic V (2001) Case study: A maintenance practice used with real-time telecommunication software. J Softw Maint Evol Res Pract 13:97-126
28. Ramakrishnan K, Floyd S, Black D (2008) RFC 3168. The addition of Explicit Congestion Notification (ECN) to IP. The Internet Society, September 2001
29. Tsetsekas CA, Fertis AG, Venieris IS (2006) Dynamic application profiles using neural networks for adaptive quality of service support in the Internet. Comput Commun 29:2985-2995 (Pubitemid 44232978)
30. Xia F, Zhao W, Sun Y, Tian Y-C (2007) Fuzzy logic control based qos management in wireless sensor/actuator networks. Sensors 7:3179-3191
31. Zadeh LA (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans Syst Man Cybern SMC-3, 28-44
32. Zargar ST, Yaghmaee MH (2006) Fuzzy Green: A modified TCP equation-based active queue management using fuzzy logic approach. IJCSNS Int J Comput Sci Netw Secur 6(5A):50
33. Zhang HG, Yang DD, Chai TY (2007) Guaranteed cost networked control for T-S fuzzy systems with time delays. IEEE Trans Syst Man Cybern C 37(2):160-172