Research Article
Dynamic Optimal Fragmentation for Goodput Enhancement in WLANs
@INPROCEEDINGS{10.1109/TRIDENTCOM.2007.4444673, author={Yusun Chang and Chris Lee and B. Kwon and John A. Copeland}, title={Dynamic Optimal Fragmentation for Goodput Enhancement in WLANs}, proceedings={3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom)}, proceedings_a={TRIDENTCOM}, year={2010}, month={5}, keywords={component; Fragmentation Goodput 802.11}, doi={10.1109/TRIDENTCOM.2007.4444673} }- Yusun Chang
Chris Lee
B. Kwon
John A. Copeland
Year: 2010
Dynamic Optimal Fragmentation for Goodput Enhancement in WLANs
TRIDENTCOM
IEEE
DOI: 10.1109/TRIDENTCOM.2007.4444673
Abstract
To meet the demand for broadband wireless communication, wireless systems should work well in typical wireless environments, characterized by the path loss of the signals, multipath fading, interference to adjacent channels, and random errors. IEEE 802.11 WLANs use the unlicensed 2.4GHz industrial, scientific and medical (ISM) band, which is vulnerable to noise generated by TVs, microwaves, and cordless phones. This paper proposes an algorithm to enhance system goodput through the dynamic optimal fragmentation. The number of contending stations, packet collisions, packet error probabilities, and fragmentation overheads are modeled in the analysis. Using an adaptive SNR estimator, the sender estimates the SNR of the receiver, and chooses a fragmentation threshold to shape arbitrary sized packets into optimal length packets. Through the rigorous analysis and extensive experiments with implemented test-bed, we show that the dynamic optimal fragmentation enhances the goodput approximately 18% in a typical WLAN environment. The experiment results reinforce that the algorithm is a comprehensive analytical model applicable to any CSMA/CA based MAC protocol for next generation wireless networks, and a realistic approach that can be deployed without changing the IEEE 802.11 MAC protocol.