The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami mencadangkan algoritma pengurusan tetingkap perbalahan baru yang melaraskan saiz tetingkap perbalahan dalam persekitaran rangkaian wayarles yang padat. Dalam algoritma, stesen menganggarkan bilangan stesen jiran dengan memerhatikan bilangan pegun semasa mencuba akses saluran wayarles. Kemudian, stesen menggunakan saiz tetingkap perbalahan baharu untuk penghantaran bingkai selanjutnya. Kami menilai algoritma yang dicadangkan dengan simulator NS-3. Keputusan simulasi menunjukkan bahawa algoritma kami mengatasi kerja sedia ada dari segi kelewatan, daya pemprosesan, kadar perlanggaran dan nisbah penghantaran bingkai.
Chandra Sukanya NANDYALA
Daegu University
Sunggeun JIN
Daegu University
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Salinan
Chandra Sukanya NANDYALA, Sunggeun JIN, "An Adjustable Contention Window Management for Dense IEEE 802.11 Networks" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 3, pp. 270-274, March 2022, doi: 10.1587/transcom.2020EBP3193.
Abstract: We propose a novel contention window management algorithm that adjusts contention window size in dense wireless network environments. In the algorithm, a station estimates the number of neighboring stations by observing its number of freezes while attempting wireless channel accesses. Then, station adopts a new contention window size for further frame transmissions. We evaluate the proposed algorithm with the NS-3 simulator. The simulation results show that our algorithm outperforms existing works in terms of delay, throughput, collision rate, and frame delivery ratio.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3193/_p
Salinan
@ARTICLE{e105-b_3_270,
author={Chandra Sukanya NANDYALA, Sunggeun JIN, },
journal={IEICE TRANSACTIONS on Communications},
title={An Adjustable Contention Window Management for Dense IEEE 802.11 Networks},
year={2022},
volume={E105-B},
number={3},
pages={270-274},
abstract={We propose a novel contention window management algorithm that adjusts contention window size in dense wireless network environments. In the algorithm, a station estimates the number of neighboring stations by observing its number of freezes while attempting wireless channel accesses. Then, station adopts a new contention window size for further frame transmissions. We evaluate the proposed algorithm with the NS-3 simulator. The simulation results show that our algorithm outperforms existing works in terms of delay, throughput, collision rate, and frame delivery ratio.},
keywords={},
doi={10.1587/transcom.2020EBP3193},
ISSN={1745-1345},
month={March},}
Salinan
TY - JOUR
TI - An Adjustable Contention Window Management for Dense IEEE 802.11 Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 270
EP - 274
AU - Chandra Sukanya NANDYALA
AU - Sunggeun JIN
PY - 2022
DO - 10.1587/transcom.2020EBP3193
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2022
AB - We propose a novel contention window management algorithm that adjusts contention window size in dense wireless network environments. In the algorithm, a station estimates the number of neighboring stations by observing its number of freezes while attempting wireless channel accesses. Then, station adopts a new contention window size for further frame transmissions. We evaluate the proposed algorithm with the NS-3 simulator. The simulation results show that our algorithm outperforms existing works in terms of delay, throughput, collision rate, and frame delivery ratio.
ER -