PSO-based neural network for dynamic bandwidth re-allocation [power system communication]

LESCOPE 2002 - 2002 Large Engineering Systems Conference on Power Engineering: Energy for the Future, Conference Proceedings

Volumn , Issue , 2002, Pages 98-102

  Elgallad, A ^a   Fgee, E ^a   El Hawary, M ^a   Phillips, W ^a   Sallam, A ^b  

^a DALHOUSIE UNIVERSITY   (Canada)

^b SUEZ CANAL UNIVERSITY   (Egypt)

Author keywords

Bandwidth reallocation; Neural network; PSO; QoS requirements

Indexed keywords

HIGH SPEED NETWORKS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); QUALITY OF SERVICE;

ADAPTIVE BANDWIDTH; BANDWIDTH REALLOCATION; INPUT AND OUTPUTS; NETWORK CONGESTIONS; ON-LINE MEASUREMENT; POWER SYSTEM COMMUNICATION; QOS REQUIREMENTS; STATIC BANDWIDTH ALLOCATION;

BANDWIDTH;

EID: 29244484711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LESCPE.2002.1020673     Document Type: Conference Paper

References (9)

1. Slonowsky D., Jiang Q., and Srinivasan R., "A fuzzy dynamic bandwidth reallocation", Proceedings of IEEE Canadian conference on Electrical & Computer Engineering, Vol. 2, pp. 815-822, 2002.
2. Hsu I. Walrand J., "Dynamic bandwidth allocation for ATM switches", Journal of Applied Probability, Vol. 33, No. 3, pp. 758-771, September 1996.
3. Rampal S., Reeves D. S., and Viniotis I., "dynamic resource allocation based on measured QoS" Technical Report 96-2, North Carolina State University.
4. Younis O, El-Haweet W., and El-Derini N., "Dynamic bandwidth allocation for VBR video sources with similar or different QoS requirements in ATM networks", IEEE Middle East workshop on networking, Lebanon 1999.
5. Giroux N. and Ganti S, Quality of service in ATM networks. Prentice-Hall 1998.
6. Rumelhart D. E. and McClelland J. L., Parallel Distributed Processing: Explorations in the Micro Structure of Cognition, Vol. 1: Foundations, MIT Press, Cambridge, MA, 1986.
7. Peng J., Chen Y., and Eberhart R., "Battery Pack State of Charge Estimator Design Using Computational Intelligence Approaches", Battery conference on applications and advances, 2000, the fifteenth Annual, pp. 173-177, Jan 2000.
8. El-Gallad A., El-Hawary M., and Sallam A., "Swarming of intelligent particles for solving nonlinear constrained optimization problem", International Journal of Engineering intelligent systems, Vol. 9, No. 3, pp. 155-163, September 2001.
9. M. J. Pitts, Schormans J. A., Introduction to ATM Design and Performance. Wiley 1996.