Open AccessIntelligent Rate Adaptation Based on Improved Simulated Annealing Algorithm
Author(s) -
Lianfen Huang,
Li Fung Chang,
Zilong Gao
Publication year - 2010
Publication title -
international journal of computer network and information security
Language(s) - English
Resource type - Journals
eISSN - 2074-9104
pISSN - 2074-9090
DOI - 10.5815/ijcnis.2010.01.02
Subject(s) - computer science , adaptation (eye) , simulated annealing , algorithm , neuroscience , biology
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.
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