Access Point Buffer Management for Power Saving in IEEE 802.11 WLANs

Zhu, Yibo; Lu, Hancheng; Leung, Victor C. M.

doi:10.1109/tnsm.2012.062512.110188

Cited by 24 publications

(15 citation statements)

References 15 publications

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“…There is a lot of 802.11 PSM related studies, which are aimed at minimizing energy consumption in M2M networks. We can categorize them into two groups: one requiring changes on the AP side [12], [13]; and the other one about strategies on the client side [14], [15], [16], [17]. In this section, the 802.11 PSM related enhancements on the AP side is not analyzed since we consider sleep scheduling strategies on the client side to be applied on top of the conventional WLAN infrastructure in homes.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

Ozcelik

Korpeoglu

Agrawala

2017

The Computer Journal

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Machine-to-machine communications (M2M) technology enables large-scale communication and networking of devices of various kinds including home devices and appliances. A critical issue for home M2M networks is how to efficiently integrate the already existing home consumer devices and appliances into an IP based wireless M2M network with least modifications to existing components. Due to its popularity and widespread usage in closed spaces, Wi-Fi is a good alternative as a wireless technology to enable M2M networking for home devices.This thesis addresses the energy-efficient integration of home appliances to a Wi-Fi and IP based home M2M network. Towards this goal, we first propose an integration architecture that requires least modifications in existing components. Then, we propose a novel long-term sleep scheduling algorithm to be applied together with the existing 802.11 power save mode (PSM). The proposed scheme utilizes the multicast DNS (mDNS) protocol to maintain device and service availability when devices go into deep sleep mode.We implemented our proposed architecture and algorithm as a prototype to build an M2M network of home appliances as a test-bed. We performed various experiments on this test-bed to evaluate the proper operation and energy savings of our proposal. We also did extensive simulation experiments for larger-scale scenarios. As a result of our test-bed and simulation experiments, we observed energy savings up to 70% compared to the existing infrastructure which applies no sleep mechanism, and up to 20% compared to standard 802.11 PSM scheme, while ensuring device and service availability at the same time. Bu tez, Wi-Fi teknolojisinin enerji verimli birşekilde akıllı ev sistemlerinde kullanılacak gömülü cihazlara nasıl entegre edilecegini gösterir. Tezde, ev M2M aglarında enerji tasarrufu için IEEE 802.11 güç tasarruf modu (PSM) ve uyku zamanlama algoritması tabanlı yeni bir yaklaşımönerilmektedir. Bu yaklaşım, IEEE 802.11 MAC katmanında degişiklik yapılmadan gerçeklenir. Yaklaşımın gerçeklenmesinde cihazların erişilebilirligi etkilenmeksizin mDNS protokol mesajlarından da faydalanılır. KeywordsTezdekiönerilen yaklaşım, bir ev M2M agına prototip olarak uygulanmıştır. Bu prototiplerle ve hazırlanan simulasyonlarla,önerilen yaklaşımın performans degerlendirmesi yapılmıştır. Prototipüzerinde yapılan testlerin ve simulasyonların sonuçlarna göre, herhangi bir enerji tasarruf mekanizması kullanmayan standart altyapıya kıyasla yaklaşık %70, IEEE 802.11 güç tasarruf moduna kıyasla %20 enerji tasarrufu saglandıgı görülmüştür.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

Ozcelik

Korpeoglu

Agrawala

2017

The Computer Journal

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“…The PSM can save energy by allowing STAs to remain in the sleep state, as explained in Section 2.1, and there have been lots of studies in the literature to optimize the performance of PSM by tuning parameters like BI and LI and by enhancing buffer management in the AP [7,8]. However, the PSM cannot make any contribution to energy efficiency when STAs in the active state retrieve the pending frames and it cannot effectively deal with the ILT due to the nature of contention-based channel access of IEEE 802.11 WLANs, which becomes severer as the number STAs increases.…”

Section: Motivationmentioning

confidence: 99%

Improving Energy Efficiency in Idle Listening of IEEE 802.11 WLANs

Adnan¹,

Park

2016

Mobile Information Systems

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This paper aims to improve energy efficiency of IEEE 802.11 wireless local area networks (WLANs) by effectively dealing with idle listening (IL), which is required for channel sensing and is unavoidable in a contention-based channel access mechanism. Firstly, we show that IL is a dominant source of energy drain in WLANs and it cannot be effectively alleviated by the power saving mechanism proposed in the IEEE 802.11 standard. To solve this problem, we propose an energy-efficient mechanism that combines three schemes in a systematic way: downclocking, frame aggregation, and contention window adjustment. The downclocking scheme lets a station remain in a semisleep state when overhearing frames destined to neighbor stations, whereby the station consumes the minimal energy without impairing channel access capability. As well as decreasing the channel access overhead, the frame aggregation scheme prolongs the period of semisleep time. Moreover, by controlling the size of contention window based on the number of stations, the proposed mechanism decreases unnecessary IL time due to collision and retransmission. By deriving an analysis model and performing extensive simulations, we confirm that the proposed mechanism significantly improves the energy efficiency and throughput, by up to 2.8 and 1.8 times, respectively, compared to the conventional power saving mechanisms.

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“…Moreover, Zhu et al . presented the buffer management scheme for TPM and the enhanced TPM in Zhu et al . to considerably reduce packet delay for the applications with intolerant uplink traffic.…”

Section: Related Workmentioning

confidence: 99%

“…Here,

{\overset{true¯}{F}}^{(k)} ((), x) \equiv 1 - F^{(k)} ((), x)

. New incoming frames to the STA and the outgoing frames from the STA form a Possion process having a rate of λ ( k ) . Assume that the random variables χ ( k ) and

χ_{D}^{(k)}

( k = 1, 2,…, N ) are independent . Moreover, we define ρ ( k ) = λ ( k ) / μ ( k ) .…”

Section: Model and Statistics Of Tpm‐uwlmentioning

confidence: 99%

“…Zhu [3] proposed the TPM in which the values of the embedded two timers (i.e., the doze timer and the idle timer) can be tuned to trade power for packet delay, memory usage, and so on. Moreover, Zhu et al [15] presented the buffer management scheme for TPM and the enhanced TPM in Zhu et al [16] to considerably reduce packet delay for the applications with intolerant uplink traffic. However, the analysis model developed for the TPM in Zhu and Leung [3] does not consider UWLs in WLAN, which is overcome by the TPM-UWL presented in this paper.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Timer‐based power management for infrastructure IEEE 802.11 WLAN with unreliable wireless links

Luan

Zhu

et al. 2014

Int J Communication

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SUMMARYEfficient power management is a critical requirement for the battery-operated portable electronic devices incorporating wireless transceivers to have a longer runtime. The existing timer-based power management (TPM) is able to balance energy saving and quality of service requirements by tuning the values of its idle and doze timers. In this paper, the TPM applied in the infrastructure IEEE 802.11 wireless local area network with unreliable wireless links, referred to as TPM-UWL, is presented. A novel stochastic analysis model is developed for TPM-UWL, based on which the probabilities that a mobile station (STA) is at active, dozing, and idle states are obtained. Additionally, the number of buffered frames at the access point and the sleeping STA, the STA's average power consumption, and a frame's average delay under TPM-UWL are derived. Further, the optimization problem that minimizes power consumption under the constraints of delay and buffer size is presented, which enables an STA to set its maximum number of retransmissions and the values of the idle and doze timers in the medium access control layer such that power consumption is minimized, while the constraints of delay and buffer size are satisfied.

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Access Point Buffer Management for Power Saving in IEEE 802.11 WLANs

Cited by 24 publications

References 15 publications

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

Improving Energy Efficiency in Idle Listening of IEEE 802.11 WLANs

Timer‐based power management for infrastructure IEEE 802.11 WLAN with unreliable wireless links

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