A study on the drift in the probability of transmission in the MP-CSMA/CD protocol

Author

Siew, Chee-Kheong ; Jiao, Zhihua

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

435

Abstract

A modified p-persistence CSMA/CD (MP-CSMA/CD) is proposed to maximize the throughput performance of a bus local area network. From the two algorithms applied to maximize the throughput performance, the artificial neural network (ANN) produces a better performance than the gradient access algorithm. Owing to noise in the throughput measurements, the drift in the probability of transmission, p, may invalidate its performance. We investigated the problems inherent in the gradient access algorithm which resulted in a drift in p. Simulation results show that this problem is solved by an ANN algorithm

Keywords

carrier sense multiple access; local area networks; neural nets; optimisation; performance evaluation; probability; MP-CSMA/CD protocol; artificial neural network; bus local area network; gradient access algorithm; modified p-persistence CSMA/CD; simulation; throughput measurement noise; throughput performance maximization; transmission probability drift; Access protocols; Artificial neural networks; Degradation; Local area networks; Multiaccess communication; Neural networks; Noise measurement; Propagation delay; Sampling methods; Throughput;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672818

Filename

672818