Self-Tuning Wireless Network Power Management

Anand, Manish; Nightingale, Edmund B.; Flinn, Jason

doi:10.1007/s11276-005-1768-x

Cited by 100 publications

(146 citation statements)

References 21 publications

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“…For example, when streaming video to a Compaq iPaq, the WNIC amounts for 37.7 % of the total power consumption [3]. In typical smartphone usage, the Wi-Fi interface accounts for 25 % of the total power budget [4]. On an Asus EEE PC, a device without hard disk, merely switching on the WiFi interface without actually transmitting or receiving data, already increases the total device power consumption by 12 % [5].…”

Section: Introductionmentioning

confidence: 99%

Cross-layer reduction of wireless network card idle time to optimize energy consumption of pull thin client protocols

et al. 2012

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Abstract-Thin client computing trades local processing for network bandwidth consumption by offloading application logic to remote servers. User input and display updates are exchanged between client and server through a thin client protocol. On wireless devices, the thin client protocol traffic can lead to a significantly higher power consumption of the radio interface. In this article, a cross-layer framework is presented that transitions the wireless network interface card (WNIC) to the energyconserving sleep mode when no traffic from the server is expected. The approach is validated for different wireless channel conditions, such as path loss and available bandwidth, as well as for different network roundtrip time values. Using this crosslayer algorithm for sample scenario with a remote text editor, and through experiments based on actual user traces, a reduction of the WNIC energy consumption of up to 36.82 % is obtained, without degrading the application's reactivity.

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Section: Introductionmentioning

confidence: 99%

Cross-layer reduction of wireless network card idle time to optimize energy consumption of pull thin client protocols

et al. 2012

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“…Unfortunately, the two existing PSM implementations, Static and Dynamic PSM, fail to efficiently address this challenge, leading to either severe data transfer delays or missed energy saving opportunities. As a result, PSM is generally considered to be unusable during a data transfer [1], especially for short flows [5].…”

Section: Introductionmentioning

confidence: 99%

Realizing the full potential of PSM using proxying

Ding

Pathak

Koutsonikolas

et al. 2012

2012 Proceedings IEEE INFOCOM

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Abstract-The WiFi radio in smartphones consumes a significant portion of energy when active. To reduce the energy consumption, the Power Saving Mode was standardized in IEEE 802.11 and two major implementations, Static PSM and Dynamic PSM, have been widely used in mobile devices. Unfortunately, both PSMs have inherent drawbacks: Static PSM is energy efficient but imposes considerable extra delays on data transfers; Dynamic PSM incurs little extra delay but misses energy saving opportunities.In this paper, we first analyze a one-week trace from 10 users and show that more than 80% of all traffic are Web 2.0 flows, which are of very small sizes and short durations. Targeting these short but dominant flows, we propose a system called Percy, to achieve the best of both worlds (Static and Dynamic PSM), i.e., to maximize the energy saving while minimizing the delay of flow completion time. Percy works by deploying a web proxy at the AP and suitably configuring the PSM parameters, and is designed to work with unchanged clients running Dynamic PSM, and unchanged APs and Internet servers. We evaluate our system via trace-driven testbed experiments. Our results show that Percy saves 40-70% energy compared to Dynamic PSM configurations of Nokia, iPhone and Android, while imposing low extra delay that can hardly be perceived by users.

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“…To improve the performance of the current IEEE 802.11 PSM, a number of studies have been conducted in the literature [8], [11], [12], and [13].…”

Section: Introductionmentioning

confidence: 99%

“…In [11], Anand et al proposed the self-tuning power management (STPM) that adapts its behavior to the access patterns of the network interface and the energy usage of the platform. Compared to the current IEEE 802.11 PSM, STPM reduces the total energy usage of a MH running the Coda distributed file system [14] by 21% while also reducing interactive file system delay by 80%.…”

Section: Introductionmentioning

confidence: 99%

An adaptive power saving mechanism in IEEE 802.11 wireless IP networks

Pack

Choi

2005

J. Commun. Netw.

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Reducing energy consumption in mobile hosts (MHs) is one of the most critical issues in wireles/mobile networks. IP paging protocol at network layer and power saving mechanism (PSM) at link layer are two core technologies to reduce the energy consumption of MHs. First, we investigate the energy efficiency of the current IEEE 802.11 power saving mechanism (PSM) when IP paging protocol is deployed over IEEE 802.11 networks. The result reveal that the current IEEE 802.11 PSM with a fixed wakeup interval (i.e., the static PSM) exhibits a degraded performance when it is integrated with IP paging protocol. Therefore, we propose an adaptive power saving mechanism in IEEE 802.11-based wireless IP networks. Unlike the static PSM, the adaptive PSM adjusts the wake-up interval adaptively depending on the session activity at IP layer. Specifically, the MH estimates the idle periods for incoming sessions based on the exponentially weighted moving average (EWMA) scheme and sets its wake-up interval dynamically by considering the estimated idle period and paging delay bound. For performance evaluation, we have conducted comprehensive simulations and compared the total cost and energy consumption, which are incurred in IP paging protocol in conjunction with various power saving mechanisms: The static PSM, the adaptive PSM, and the optimum PSM. Simulation results show that the adaptive PSM provides a closer performance to the optimum PSM than the static PSM.

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Self-Tuning Wireless Network Power Management

Cited by 100 publications

References 21 publications

Cross-layer reduction of wireless network card idle time to optimize energy consumption of pull thin client protocols

Cross-layer reduction of wireless network card idle time to optimize energy consumption of pull thin client protocols

Realizing the full potential of PSM using proxying

An adaptive power saving mechanism in IEEE 802.11 wireless IP networks

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