IEICE TRANSACTIONS on Communications
Supporting Service Differentiation and Improving Channel Utilization with an Enhanced IEEE 802.11 DCF
Summary :
Fair allocation of bandwidth and maximization of channel utilization are two important issues when designing a contention-based wireless medium access control (MAC) protocol. However, fulfilling both design goals at the same time is very difficult. Considering the problem in the IEEE 802.11 wireless local area networks (WLANs), in this work we propose a method using a p-persistent enhanced DCF, called P-IEEE 802.11 DCF, to achieve weighted fairness and efficient channel utilization among multiple priority classes in a WLAN. Its key idea is that when the back-off timer of a node reaches zero, the transmission probability is properly controlled to reflect the relative weights among data traffic flows so as to maximize the aggregate throughput and to minimize the frame delay at the same time. In particular, we obtain the optimal transmission probability based on a theoretical analysis, and also provide an approximation to this probability. The derived optimal and approximation are all evaluated numerically and simulated with different scenarios. The results show that the proposed method can fulfill our design goals under different numbers of priority classes and different numbers of nodes.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.5 pp.1860-1867
- Publication Date
- 2009/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.1860
- Type of Manuscript
- PAPER
- Category
- Terrestrial Radio Communications
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Keyword
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Jain-Shing LIU, "Supporting Service Differentiation and Improving Channel Utilization with an Enhanced IEEE 802.11 DCF" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 5, pp. 1860-1867, May 2009, doi: 10.1587/transcom.E92.B.1860.
Abstract: Fair allocation of bandwidth and maximization of channel utilization are two important issues when designing a contention-based wireless medium access control (MAC) protocol. However, fulfilling both design goals at the same time is very difficult. Considering the problem in the IEEE 802.11 wireless local area networks (WLANs), in this work we propose a method using a p-persistent enhanced DCF, called P-IEEE 802.11 DCF, to achieve weighted fairness and efficient channel utilization among multiple priority classes in a WLAN. Its key idea is that when the back-off timer of a node reaches zero, the transmission probability is properly controlled to reflect the relative weights among data traffic flows so as to maximize the aggregate throughput and to minimize the frame delay at the same time. In particular, we obtain the optimal transmission probability based on a theoretical analysis, and also provide an approximation to this probability. The derived optimal and approximation are all evaluated numerically and simulated with different scenarios. The results show that the proposed method can fulfill our design goals under different numbers of priority classes and different numbers of nodes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.1860/_p
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@ARTICLE{e92-b_5_1860,
author={Jain-Shing LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Supporting Service Differentiation and Improving Channel Utilization with an Enhanced IEEE 802.11 DCF},
year={2009},
volume={E92-B},
number={5},
pages={1860-1867},
abstract={Fair allocation of bandwidth and maximization of channel utilization are two important issues when designing a contention-based wireless medium access control (MAC) protocol. However, fulfilling both design goals at the same time is very difficult. Considering the problem in the IEEE 802.11 wireless local area networks (WLANs), in this work we propose a method using a p-persistent enhanced DCF, called P-IEEE 802.11 DCF, to achieve weighted fairness and efficient channel utilization among multiple priority classes in a WLAN. Its key idea is that when the back-off timer of a node reaches zero, the transmission probability is properly controlled to reflect the relative weights among data traffic flows so as to maximize the aggregate throughput and to minimize the frame delay at the same time. In particular, we obtain the optimal transmission probability based on a theoretical analysis, and also provide an approximation to this probability. The derived optimal and approximation are all evaluated numerically and simulated with different scenarios. The results show that the proposed method can fulfill our design goals under different numbers of priority classes and different numbers of nodes.},
keywords={},
doi={10.1587/transcom.E92.B.1860},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Supporting Service Differentiation and Improving Channel Utilization with an Enhanced IEEE 802.11 DCF
T2 - IEICE TRANSACTIONS on Communications
SP - 1860
EP - 1867
AU - Jain-Shing LIU
PY - 2009
DO - 10.1587/transcom.E92.B.1860
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2009
AB - Fair allocation of bandwidth and maximization of channel utilization are two important issues when designing a contention-based wireless medium access control (MAC) protocol. However, fulfilling both design goals at the same time is very difficult. Considering the problem in the IEEE 802.11 wireless local area networks (WLANs), in this work we propose a method using a p-persistent enhanced DCF, called P-IEEE 802.11 DCF, to achieve weighted fairness and efficient channel utilization among multiple priority classes in a WLAN. Its key idea is that when the back-off timer of a node reaches zero, the transmission probability is properly controlled to reflect the relative weights among data traffic flows so as to maximize the aggregate throughput and to minimize the frame delay at the same time. In particular, we obtain the optimal transmission probability based on a theoretical analysis, and also provide an approximation to this probability. The derived optimal and approximation are all evaluated numerically and simulated with different scenarios. The results show that the proposed method can fulfill our design goals under different numbers of priority classes and different numbers of nodes.
ER -
English
