Buffer Sizing for 802.11-Based Networks

Li, Tianji; Leith, Douglas J.; Malone, David

doi:10.1109/tnet.2010.2089992

Cited by 44 publications

(21 citation statements)

References 37 publications

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“…Li et al [7] have studied adaptive tuning of IEEE 802.11 Access Point (AP) buffers. They proposed three algorithms: emulating BDP (eBDP), Adaptive Limit Tuning (ALT), and A* algorithm.…”

Section: Single-hop Network Solutionsmentioning

confidence: 99%

Buffer sizing in wireless networks: challenges, solutions, and opportunities

2016

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“…Li et al [7] have studied adaptive tuning of IEEE 802.11 Access Point (AP) buffers. They proposed three algorithms: emulating BDP (eBDP), Adaptive Limit Tuning (ALT), and A* algorithm.…”

Section: Single-hop Network Solutionsmentioning

confidence: 99%

Buffer sizing in wireless networks: challenges, solutions, and opportunities

2016

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“…This scheme, however, disturbs the tight feedback loop necessary for optimal operation of TCP. The AP buffer can be sized dynamically [29] to strike a balance between channel utilization and delay requirements of various flows.…”

Section: Related Workmentioning

confidence: 99%

“…Our mechanism considers the network topology and wireless link rates, and is thus adaptive to changing network conditions. In contrast, a fixed, pre-set buffer size does not suffice across the range of configurations achievable with 802.11 platform [29];…”

Section: Introductionmentioning

confidence: 99%

Deflating link buffers in a wireless mesh network

et al. 2014

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We analyze the problem of buffer sizing for backlogged TCP flows in 802.11-based wireless mesh networks. Our objective is to maintain high network utilization while providing low queueing delays. Unlike wired networks where a single link buffer feeds a bottleneck link, the radio spectral resource in a mesh network is shared among a set of contending mesh routers. We account for this by formulating the buffer size problem as sizing a collective buffer distributed over a set of interfering nodes. In this paper we propose mechanisms for sizing and distributing this collective buffer among the mesh nodes constituting the network bottleneck. Our mechanism factors in the network topology and wireless link rates, improving on pre-set buffer allocations that cannot optimally work across the range of configurations achievable with 802.11 radios. We evaluate our mechanisms using simulations as well as experiments on a testbed. Our results show that we can reduce the RTT of a flow by 6× or more, at the cost of less than 10% drop in end-to-end flow throughput.

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“…It is shown in [16] that, the use of fixed-size buffers in 802.11 networks inevitably leads to either undesirable channel underutilization or unnecessarily high delays; high throughput and low delay can be achieved by dynamic buffer-sizing algorithms. Unfortunately, none of the power management schemes in the literature have considered buffer size or buffer utilization.…”

Section: Pbms and Performance Evaluationsmentioning

confidence: 99%

“…Given a pdf h(x), its Laplace-Stieltjes Transform (LST) is denoted by h * (s) = Performing LST on t in (12)- (15) and using (16) leads to (a.3). The correctness of (a.3) can be validated by directly substituting it into the equations derived from (12)- (15) Obviously, the denominator of (a.12) has a unique root z 0 in the interval (0, 1), which is shown in (18).…”

Section: Appendix IImentioning

confidence: 99%

Access Point Buffer Management for Power Saving in IEEE 802.11 WLANs

Zhu

Leung

2012

IEEE Trans. Netw. Serv. Manage.

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Abstract-It is crucial to save power and prolong the runtime of mobile stations (STAs) in wireless local area networks (WLANs). In an infrastructure WLAN, a STA cannot be connected until it is associated with an access point (AP), which is responsible for buffering frames for all the associated STAs operating in the power saving mode. Hence, efficient memory utilization is critical for an AP to accommodate as many powersaving STAs as possible. The basic power management (BPM) scheme introduced in the IEEE 802.11 standard achieves power saving by allowing STAs not engaging in data delivery to operate in doze mode, but it does not consider the efficient use of the memory in the AP. To tradeoff power consumption for memory usage, we present an AP-priority timer-based power management (APP-TPM) scheme and develop a novel model for stochastic analysis of the proposed scheme. Based on this model, the probability distributions of the numbers of frames buffered at the AP and the average numbers of frames buffered at the AP are obtained. Moreover, a power-aware buffer management scheme (PBMS), which is based on the derived statistics, is proposed to accommodate as many STAs as possible given a fixed amount of memory in the AP while maintaining low power consumption. Simulation results show that the proposed scheme performs better than BPM in terms of memory usage in the AP.Index Terms-Power management, WLAN, IEEE 802.11, power saving.

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Buffer Sizing for 802.11-Based Networks

Cited by 44 publications

References 37 publications

Buffer sizing in wireless networks: challenges, solutions, and opportunities

Buffer sizing in wireless networks: challenges, solutions, and opportunities

Deflating link buffers in a wireless mesh network

Access Point Buffer Management for Power Saving in IEEE 802.11 WLANs

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