Abstract

TCP unfairness problem in access networks using the 802.11 has been studied by many researchers. Their solutions required that the existing MAC protocol be modified. However, since they did not consider the case when each wireless node has a different number of flows, they cannot provide fairness among wireless nodes having different numbers of flow in both directions. In order to resolve this problem, Weighted Window and Class-Based Weighted Window methods are proposed. In the Weighted Window method, each wireless node can control the rate of TCP flows based on TCP window size. By applying this method, per-station fairness can be achieved, regardless of the number and direction of flows in each wireless node. Furthermore, to improve and to provide fair bandwidth allocation in the Weighted Window method when the users have different requirements, the Class-Based Weighted Window method is proposed. Therefore, for wireless nodes with different requirements, fair allocation bandwidth between wireless nodes in the same class of bandwidth is achieved.

Highlights

  • The WLAN industry has emerged as one of the fastestgrowing segments of the communication trade

  • In the first part of this paper the focus was on the issue of fairness among wireless nodes having different numbers and directions of flow

  • It was shown in this part that the current WLANs allocate bandwidth unfairly

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Summary

Introduction

The WLAN industry has emerged as one of the fastestgrowing segments of the communication trade. Since most Internet services run over TCP connections, this paper focuses on TCP fairness in WLAN. Since the current Internet utilises TCP as the transportlayer protocol and IEEE 802.11 infrastructure mode as today’s networks, the interaction between MAC and TCP can cause unfairness among the wireless nodes. The reason behind this will be discussed . This paper focuses on providing a fair resource allocation mechanism in wireless networks. The first part of this paper deals with the fairness issue of the wireless nodes having different numbers and different directions of flow, while the second part focuses on fairness assurance in different classes of bandwidth.

Problem Overview
Related Work
Weighted Window Method
Class-Based Weighted Window Method
Conclusion

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