Micro power management of active 802.11 interfaces

Liu, Jiayang; Lin, Zhouchen

doi:10.1145/1378600.1378617

Cited by 95 publications

(75 citation statements)

References 18 publications

(17 reference statements)

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“…The energy consumption of IL, unfortunately, is comparable to that of active transmission/reception [2], [3]. Even worse, WiFi clients tend to spend a large fraction of time in IL, due to MAClevel contention and network-level delay [4]. Therefore, minimizing the IL's energy consumption is crucial to WiFi's energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

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E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks

Zhang

Shin

2012

IEEE Trans. on Mobile Comput.

145

140

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Abstract-WiFi interface is known to be a primary energy consumer in mobile devices, and idle listening (IL) is the dominant source of energy consumption in WiFi. Most existing protocols, such as the 802.11 power-saving mode (PSM), attempt to reduce the time spent in IL by sleep scheduling. However, through an extensive analysis of real-world traffic, we found more than 60 percent of energy is consumed in IL, even with PSM enabled. To remedy this problem, we propose Energy-Minimizing idle Listening (E-MiLi) that reduces the power consumption in IL, given that the time spent in IL has already been optimized by sleep scheduling. Observing that radio power consumption decreases proportionally to its clock rate, E-MiLi adaptively downclocks the radio during IL, and reverts to full clock rate when an incoming packet is detected or a packet has to be transmitted. E-MiLi incorporates sampling rate invariant detection, ensuring accurate packet detection and address filtering even when the receiver's sampling clock rate is much lower than the signal bandwidth. Further, it employs an opportunistic downclocking mechanism to optimize the efficiency of switching clock rate, based on a simple interface to existing MAC-layer scheduling protocols. We have implemented E-MiLi on the USRP software radio platform. Our experimental evaluation shows that E-MiLi can detect packets with close to 100 percent accuracy even with downclocking by a factor of 16. When integrated with 802.11, E-MiLi can reduce energy consumption by around 44 percent for 92 percent of users in real-world wireless networks.

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Section: Introductionmentioning

confidence: 99%

“…In WiFi's power-saving mode (PSM) and its variants [1], [4], [5], [6], clients can sleep adaptively, and wake up only when they intend to transmit, or expect to receive packets. The AP buffers downlink packets and transmits only after the client wakes up.…”

Section: Introductionmentioning

confidence: 99%

E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks

Zhang

Shin

2012

IEEE Trans. on Mobile Comput.

145

140

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“…Various techniques for energy efficiency have been explored in the literature, including improved hardware, numerous forms of sleep scheduling (Liu and Zhong 2008;Rozner et al 2010;Manweiler and Choudhury 2011), and low power/low frequency transmission (Shih et al 2002;Ren and Liang 2005). Despite the popularity of sleep scheduling techniques, they are limited in their impact due to Media Access Control layer contention.…”

Section: Related Work Power Saving Techniquesmentioning

confidence: 99%

“…This phenomenon is known as idle-listening (IL), and makes wireless devices intrinsically energy inefficient. As per Liu and Zhong (2008), this 'idle-listening' on the channels can account for between 60 and 80% of power consumption for wireless clients based on network load.…”

Section: Introductionmentioning

confidence: 99%

Exploiting Small World Networks for Energy Efficiency in Network of Multi-Clock-Rate Wireless Devices

Sengupta

Murthy

2017

INAE Lett

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While state-of-the-art in wireless communication is highly spectrum efficient, it is still wanting in terms of energy efficiency. Sleep scheduling techniques provide limited gains due to the large fraction of time spent by wireless devices in idle-listening. The use of multi-clockrate sampling devices (MCDs) in conjunction with frequency agnostic preamble detection promises significant improvements in energy efficiency by downclocking the receiver to save energy. In this paper, we consider a wireless ad hoc network of MCDs, and model it as a small world network. We propose a new energy efficient small world network model for a network of MCDs, which considers the battery energy of the wireless nodes, the multi-hop transmission distance, and downclocking level of the devices. Results show that the proposed model is more energy efficient than the Newman and Watts model.

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“…이에, IEEE 802.11 표준을 비롯한 많은 연구에서 무 선랜 인터페이스의 사용으로 인해 소비되는 에너지를 줄이기 위한 다양한 Power Saving Mode (PSM) 기법 이 제안되었다 [1][2][3][4][5][6] .…”

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Adaptive Packet Scheduling Scheme for Enhancing the PSM Performance of Mobile Devices

Park¹,

Jung²,

Suh³

2013

The Journal of Korean Institute of Communications and Informati

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Key Words : IEEE 802.11, S-PSM, A-PSM, Tail-energy, EWT ABSTRACT Wireless LAN (WLAN) interface is one of the major sources drastically depleting the battery power of mobile devices such as smartphones and tablets. Most commercial mobile devices employ a power saving technique putting their WLAN interface into a sleep state when there is no network traffic, and thereby, save the battery power. However, since an access point (AP) just transmits the packet(s) received from a server to the corresponding mobile device immediately, it may cause a problem that the mobile device constantly remains in an awake state so that its battery power is rapidly drained. In this paper, we point out this problem and propose a new scheme that can save the mobile device's battery power with an adaptive packet scheduling at the AP side. From the experimental results based on a testbed, we found that the proposed scheme outperforms existing schemes over 50% in terms of power saving.※ 본 연구는 미래창조과학부 및 정보통신산업진흥원의 대학 IT연구센터 지원사업의 연구결과로 수행되었음

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Micro power management of active 802.11 interfaces

Cited by 95 publications

References 18 publications

E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks

E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks

Exploiting Small World Networks for Energy Efficiency in Network of Multi-Clock-Rate Wireless Devices

Adaptive Packet Scheduling Scheme for Enhancing the PSM Performance of Mobile Devices

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