E-MiLi: energy-minimizing idle listening in wireless networks
19 Sep 2011-pp 205-216
TL;DR: E-MiLi employs an opportunistic downclocking mechanism to optimize the efficiency of switching clock rate, based on a simple interface to existing MAC-layer scheduling protocols, and can detect packets with close to 100 percent accuracy on the USRP software radio platform.
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% of energy is consumed in IL, even with PSM enabled. To remedy this problem, we propose E-MiLi (Energy-Minimizing idle Listening) 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% accuracy even with downclocking by a factor of 16. When integrated with 802.11, E-MiLi can reduce energy consumption by around 44% for 92% of users in real-world wireless networks.
Citations
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07 Aug 2018
TL;DR: PLoRa takes ambient LoRa transmissions as the excitation signals, conveys data by modulating an excitation signal into a new standard LoRa "chirp" signal, and shifts this new signal to a different LoRa channel to be received at a gateway faraway.
Abstract: This paper presents PLoRa, an ambient backscatter design that enables long-range wireless connectivity for batteryless IoT devices. PLoRa takes ambient LoRa transmissions as the excitation signals, conveys data by modulating an excitation signal into a new standard LoRa "chirp" signal, and shifts this new signal to a different LoRa channel to be received at a gateway faraway. PLoRa achieves this by a holistic RF front-end hardware and software design, including a low-power packet detection circuit, a blind chirp modulation algorithm and a low-power energy management circuit. To form a complete ambient LoRa backscatter network, we integrate a light-weight backscatter signal decoding algorithm with a MAC-layer protocol that work together to make coexistence of PLoRa tags and active LoRa nodes possible in the network. We prototype PLoRa on a four-layer printed circuit board, and test it in various outdoor and indoor environments. Our experimental results demonstrate that our prototype PCB PLoRa tag can backscatter an ambient LoRa transmission sent from a nearby LoRa node (20 cm away) to a gateway up to 1.1 km away, and deliver 284 bytes data every 24 minutes indoors, or every 17 minutes outdoors. We also simulate a 28-nm low-power FPGA based prototype whose digital baseband processor achieves 220 μW power consumption.
251 citations
Cites background from "E-MiLi: energy-minimizing idle list..."
...We reduce the sampling rate for packet detection because its power consumption decreases monotonically with the sampling rate [50]....
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14 Apr 2013
TL;DR: Gap Sense (GSense) is introduced, a novel mechanism that can coordinate heterogeneous devices without modifying their PHYlayer modulation schemes or spectrum widths and is shown to deliver coordination information with close to 100% accuracy within practical SNR regions.
Abstract: Coordination of co-located wireless devices is a fundamental function/requirement for reducing interference. However, different devices cannot directly coordinate with one another as they often use incompatible modulation schemes. Even for the same type (e.g., WiFi) of devices, their coordination is infeasible when neighboring transmitters adopt different spectrum widths. Such an incompatibility between heterogeneous devices may severely degrade the network performance. In this paper, we introduce Gap Sense (GSense), a novel mechanism that can coordinate heterogeneous devices without modifying their PHYlayer modulation schemes or spectrum widths. GSense prepends legacy packets with a customized preamble, which piggy-backs information to enhance inter-device coordination. The preamble leverages the quiet period between signal pulses to convey such information, and can be detected by neighboring nodes even when they have incompatible PHY layers. We have implemented and evaluated GSense on a software radio platform, demonstrating its significance and utility in three popular protocols. GSense is shown to deliver coordination information with close to 100% accuracy within practical SNR regions. It can also reduce the energy consumption by around 44%, and the collision rate by more than 88% in networks of heterogeneous transmitters and receivers.
133 citations
07 Sep 2015
TL;DR: The experimental study gives encouraging results that BiGroup greatly improves RFID communication efficiency, i.e., 11× performance improvement compared to the alternative decoding scheme for COTS tags and 6× gain in time efficiency when applied to EPC C1G2 tag identification.
Abstract: Current commodity RFID systems incur high communication overhead due to severe tag-to-tag collisions. Although some recent works have been proposed to support parallel decoding for concurrent tag transmissions, they require accurate channel measurements, tight tag synchronization, or modifications to standard RFID tag operations. In this paper, we present BiGroup, a novel RFID communication paradigm that allows the reader to decode the collision from multiple COTS (commodity-off-the-shelf) RFID tags in one communication round. In BiGroup, COTS tags can directly join ongoing communication sessions and get decoded in parallel. The collision resolution intelligence is solely put at the reader side. To this end, BiGroup examines the tag collisions at RFID physical layer from constellation domain as well as time domain, exploits the under-utilized channel capacity due to low tag transmission rate, and leverages tag diversities. We implement BiGroup with USRP N210 software radio that is able to read and decode multiple concurrent transmissions from COTS passive tags. Our experimental study gives encouraging results that BiGroup greatly improves RFID communication efficiency, i.e., 11× performance improvement compared to the alternative decoding scheme for COTS tags and 6× gain in time efficiency when applied to EPC C1G2 tag identification.
124 citations
Cites methods from "E-MiLi: energy-minimizing idle list..."
..., using preambles [3, 16, 39] or coordinated transmissions [31, 34]) to understand channel coefficients of individual tags....
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07 Sep 2015
TL;DR: A new acoustic eavesdropping attack that can subvert such protectors using radio devices by inspecting the subtle disturbance it causes to the radio signals generated by an adversary or by its co-located WiFi transmitter is explored.
Abstract: Loudspeakers are widely used in conferencing and infotainment systems. Private information leakage from loudspeaker sound is often assumed to be preventable using sound-proof isolators like walls. In this paper, we explore a new acoustic eavesdropping attack that can subvert such protectors using radio devices. Our basic idea lies in an acoustic-radio transformation (ART) algorithm, which recovers loudspeaker sound by inspecting the subtle disturbance it causes to the radio signals generated by an adversary or by its co-located WiFi transmitter. ART builds on a modeling framework that distills key factors to determine the recovered audio quality. It incorporates diversity mechanisms and noise suppression algorithms that can boost the eavesdropping quality. We implement the ART eavesdropper on a software-radio platform and conduct experiments to verify its feasibility and threat level. When targeted at vanilla PC or smartphone loudspeakers, the attacker can successfully recover high-quality audio even when blocked by sound-proof walls. On the other hand, we propose several pragmatic countermeasures that can effectively reduce the attacker's audio recovery quality by orders of magnitude.
107 citations
TL;DR: This paper presents potential techniques that can be applied for HEWs, in order to achieve the required performance in dense HEW deployment scenarios, as expected in the near future.
Abstract: The emerging paradigm of the Internet of Everything, along with the increasing demand of Internet services everywhere, results in a remarkable and continuous growth of the global Internet traffic. As a cost-effective Internet access solution, WiFi networks currently generate a major portion of the global Internet traffic. Furthermore, the number of WiFi public hotspots worldwide is expected to increase by more than sevenfold by 2018. To face this huge increase in the number of densely deployed WiFi networks, and the massive amount of data to be supported by these networks in indoor and outdoor environments, it is necessary to improve the current WiFi standard and define specifications for high efficiency wireless local area networks (HEWs). This paper presents potential techniques that can be applied for HEWs, in order to achieve the required performance in dense HEW deployment scenarios, as expected in the near future. The HEW solutions under consideration includes physical layer techniques, medium access control layer strategies, spatial frequency reuse schemes, and power saving mechanisms. To accurately assess a newly proposed HEW scheme, we discuss suitable evaluation methodologies, by defining simulation scenarios that represent future HEW usage models, performance metrics that reflect HEW user experience, traffic models for dominant HEW applications, and channel models for indoor and outdoor HEW deployments. Finally, we highlight open issues for future HEW research and development.
104 citations
References
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01 Feb 2008
TL;DR: An 802.11n-draft-compliant 2times2, 2-stream MIMO radio SoC, incorporating two dual-band RF transceivers, analog baseband filters, data converters, digital PHY and MAC, and a PCI Express interface, has been integrated in a standard 0.13- mum digital CMOS technology.
Abstract: This paper introduces a fully integrated 2x2 two-stream MIMO radio SoC that integrates all of the functions of an 802.11n WLAN. The 0.13 mum CMOS radio SoC, which integrates two dual-band (2.4 GHz and 5 GHz) RF transceivers, analog baseband filters, data converters, digital physical layer, media access controller, and a PCI Express interface, provides a low-cost low-power small-form-factor WLAN solution. The MIMO radio comprises two identical dual-band transceivers that share a common frequency synthesizer capable of operating in both integer-N and fractional-N modes. In 2.4 GHz mode, the transceiver uses a direct-conversion architecture with a 3.2 GHz fractional-N frequency synthesizer. Direct conversion is used primarily because of its simplicity and the area reduction it offers by eliminating the need for an IF path. A 3.2 GHz synthesizer frequency is used to avoid VCO pulling. The 3.2 GHz synthesizer output fvco is divided by two and then mixed with the original 3.2 GHz fvco to generate a 4.8 GHz frequency. This 4.8 GHz signal at twice the RF frequency is distributed to both transceivers. Within each transceiver, the 4.8 GHz signal is divided by two to generate the 2.4 GHz in-phase and quadrature LO signals. In the 5 GHz mode, the transceiver uses a sliding-IF dual-conversion architecture, in which the RF and IF LO signals are centered at 2/3 fRF and 1/3 fRF, respectively. The frequency synthesizer, operating in integer-N mode, thus provides a 3.2 GHz RF LO signal that is buffered and distributed to both transceivers. Within each transceiver a resistively loaded divide-by-two circuit is used to generate the quadrature LO signals at 1/3 fRF. The channel center frequencies in the 5 GHz band allow integer-N operation of the synthesizer with a relatively high reference frequency, thus improving the phase noise.
72 citations
Additional excerpts
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16 Aug 2009
TL;DR: A theoretical model for average case two-sender carrier sense based on radio propagation theory and Shannon capacity is presented and it is shown that carrier sense performance is surprisingly close to optimal for radios with adaptive bitrate.
Abstract: Carrier sense is often used to regulate concurrency in wireless medium access control (MAC) protocols, balancing interference protection and spatial reuse. Carrier sense is known to be imperfect, and many improved techniques have been proposed. Is the search for a replacement justified? This paper presents a theoretical model for average case two-sender carrier sense based on radio propagation theory and Shannon capacity. Analysis using the model shows that carrier sense performance is surprisingly close to optimal for radios with adaptive bitrate. The model suggests that hidden and exposed terminals usually cause modest reductions in throughput rather than dramatic decreases. Finally, it is possible to choose a fixed sense threshold which performs well across a wide range of scenarios, in large part due to the role of the noise floor. Experimental results from an indoor 802.11 testbed support these claims.
66 citations
"E-MiLi: energy-minimizing idle list..." refers background in this paper
...It has been shown that a hidden terminal rarely occurs in WiFi networks when the rate adaptation is enabled [29] and even rarer under a light traffic load....
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08 Aug 2005
TL;DR: In this article, the authors describe how to reduce power consumption in DSP applications by varying the amount of processing based on the input signal, and reports results of experiments with a prototype implementation.
Abstract: The rate at which a digital signal processing (DSP) system operates depends on the highest frequency component in the input signal. DSP applications must sample their inputs at a frequency at least twice the highest frequency in the input signal (i.e., the Nyquist rate) to accurately reproduce the signal. Typically a fixed sampling rate, guaranteed to always be high enough, is used. However, an input signal may have periods when the signal has little high frequency content as well as periods of silence. When the input signal has no perceptible high frequency components, the system can reduce its sampling rate, thereby reducing the number of samples processed per second, allowing the CPU speed to be scaled down without reducing output quality. This paper describes how to reduce power consumption in DSP applications by varying the amount of processing based on the input signal, and reports results of experiments with a prototype implementation. Experiments with a prototype show that when the system performs little processing, the added overhead of the variable sampling rate technique increased power consumption. When the system performs more processing, 18 FIR filters per frame, the power consumption was reduced to 40 % of the power required for a static sampling rate, while not reducing sound quality.
57 citations
TL;DR: A fully integrated 2x2 two-stream MIMO radio SoC that integrates all of the functions of an 802.11n WLAN solution that reduces the area reduction by eliminating the need for an IF path is introduced.
Abstract: An 802.11n-draft-compliant 2times2, 2-stream MIMO radio SoC, incorporating two dual-band RF transceivers, analog baseband filters, data converters, digital PHY and MAC, and a PCI Express interface, has been integrated in a standard 0.13- mum digital CMOS technology with a die area of 36 mm2. The receiver achieves noise figures of 4 dB and 6 dB, respectively, at 2.4 GHz and 5 GHz. The transmitter EVM for a 2-stream, 40-MHz-bandwidth 64-QAM OFDM signal is - 31 dBc at 2.4 GHz and -8 dBm output power and -31.5 dBc at 5 GHz and - 4 dBm output power.
46 citations
34 citations