Intelligent Rate Adaptation Based on Improved Simulated Annealing Algorithm

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Author(s)

Lianfen. Huang 1,* Chang. Li 2 Zilong. Gao 2

1. Dept. of Communication Engineering, Ximan University, Xiamen, China

2. Dept. of Computer Science and Communication Engineering, Xiamen University, Xiamen, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2010.01.02

Received: 25 Mar. 2010 / Revised: 13 Jun. 2010 / Accepted: 2 Sep. 2010 / Published: 8 Nov. 2010

Index Terms

802.11b DCF, simulated annealing algorithm, QualNet 3.9.5, ARF, SAARF

Abstract

This paper analyzes the PHY layer of IEEE 802.11 standards for a variety of transmission rates, after learning that MAC layer does not provide adaptive approach for rate control. With the study of various adaptive algorithms, the SAARF (Simulated Annealing Auto Rate Fallback) protocol based on simulated annealing algorithm is proposed on rate adaptation in MAC Layer, which can adaptively adjust transmitting rate. Compared with ARF (Auto Rate Fallback) protocol, SAARF can more effectively improve network performance from the simulation results.

Cite This Paper

Lianfen. Huang, Chang. Li, Zilong. Gao, "Intelligent Rate Adaptation Based on Improved Simulated Annealing Algorithm", International Journal of Computer Network and Information Security(IJCNIS), vol.2, no.1, pp.9-16, 2010. DOI:10.5815/ijcnis.2010.01.02

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