A Survey of Low-Power Transceivers and Their Applications

Blanckenstein, Johannes; Klaue, Jirka; Karl, Holger

doi:10.1109/mcas.2015.2450634

Cited by 50 publications

(22 citation statements)

References 56 publications

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“…Some examples of low-power wireless communication implementation and their parameters are listed in Table 11 (see Ref. [32] to get more details). In Table 11, V s is supply voltage, P r is power consumption of receiver in activation, T is data rate in wireless communication, and e r is energy consumption per one bit in receiving.…”

Section: Discussionmentioning

confidence: 99%

A Low-Energy Application Specific Instruction-Set Processor towards a Low-Computational Lossless Compression Method for Stimuli Position Data of Artificial Vision Systems

Sugiura

Imai

et al. 2017

Journal of Information Processing

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This paper proposes a novel data compression method for artificial vision systems and its low-energy implementation in order to reduce energy consumption in a wireless communication subsystem. The artificial vision systems are one of the methods for realizing visual prosthesis by controlling stimulus to visual nerves, and they consist of an inner stimulating unit and an outer image processing unit. The outer unit transmits information regarding stimulation to the inner unit via wireless communication, which occupies a large portion of the whole energy consumption. Reducing traffic in wireless communication is important to prevent damage caused by extra heat dissipation of the inner unit, which leads to excess energy consumption. The proposed compression method marks a higher compression ratio than the conventional compression methods by taking advantage of the analyses of stimuli position data, which is dominant in traffic. The proposed method is implemented as an application-domain specific instruction-set processor to achieve both configurability of stimulation control and compression efficiency. The evaluation results show that the proposed implementation reduces energy consumption by about 87% and 62% in the compression and decompression process, respectively. These results indicate that the proposed method can expect to reduce energy consumption in a wireless communication receiver dramatically.

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Section: Discussionmentioning

confidence: 99%

A Low-Energy Application Specific Instruction-Set Processor towards a Low-Computational Lossless Compression Method for Stimuli Position Data of Artificial Vision Systems

Sugiura

Imai

et al. 2017

Journal of Information Processing

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“…During duty-cycling, the transceiver operation is separated in active and inactive states, defined by the duty-cycling ratio. This method allows to trade in the maximum achievable data rate for reduced power consumption [5]. Typically, wake-up structures are implemented using always-on diode-detector based receivers in order to detect a specified low-rate wake-up sequence.…”

Section: Energy-efficient Transceiver Architecturesmentioning

confidence: 99%

From microwatt to gigabit: challenges of modern radio design

Pretl¹,

Faseth²,

Schumacher³

et al. 2018

Elektrotech. Inftech.

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On the brink of introducing the fifth generation (5G) of cellular networks, the art of radio-frequency (RF) integrated circuit design has never seen such a wide spread of diverging requirements:On the one hand, ubiquitous sensor networks are mandating power budgets in the order of micro-watt. They should be constructed as energy-autonomous, wireless, low-cost sensor nodes. This demand is caused by massive deployment scenarios of billions of devices, which makes wires and batteries unpractical. As a result, the desire for the radio nodes to harvest their operational energy from the environment emerges.On the other hand, the recent and ongoing realization of gigabit-per-second capable cellular modems is driving hardware and power requirements to extremes. To overcome hardware limitations, introduced by analog impairments, digital correction and alignment algorithms are employed for compensation. These factors call for usage of expensive advanced CMOS technology nodes and increased utilization of digital signal processing techniques.In this paper, we recap ongoing trends and developments for ultra-low power and high-end transceiver (TRX) designs using CMOS technology nodes ranging from low-cost to highest performance.Keywords: RF; ultra-low-power; wireless architectures; transceiver; mixed-signal circuits; 5G Von Mikrowatt zu Gigabit: Herausforderungen beim Design moderner Funkübertragungssysteme. Neben der Einführung der zellularen Mobilfunknetze der fünften Generation (5G) muss sich auch die integrierte HochfrequenzSchaltungstechnik einer noch nie dagewesenen Breite an unterschiedlichen Anforderungen stellen: Auf der einen Seite gibt es überall kabellose Sensornetzwerke, denen nur eine geringe Menge an Versorgungsleistung im MikrowattBereich zur Verfügung steht. Daher müssen die Chips in diesem Bereich energieautark und möglichst kostengünstig entwickelt werden. Aufgrund der zu erwartenden hohen Stückzahlen (Milliarden von unterschiedlichsten Sensoren für verschiedene Anwendungen) sind eine drahtgebundene Energieversorgung oder der Einsatz von Batterien in vielen Fällen praktisch unmöglich. Somit wird es für die Sensoren immer wichtiger, ihre Energieversorgung aus der Umgebung zu gewinnen (Stichwort Energy Harvesting).

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“…Blanck et al presented [9] an overview of current low-power transceivers. In respect to energy consumption the range goes from highly integrated concepts that require 0.1 µW [16,17] to several solutions between 10 and 1000 µW [9]. Only a few receivers are in the range of 1 to 10 µW.…”

Section: Wake-up Transceivermentioning

confidence: 99%

“…These wake-up receivers have marginal power consumption and wake up the sensor node if a dedicated signal has been received. So, low-power wake-up receivers can greatly reduce the power consumption of wireless sensor nodes, by eliminating the idle listening time and at the same time reduce communication delays to achieve an almost latency free communication [9].…”

Section: Introductionmentioning

confidence: 99%

T-ROME: A simple and energy efficient tree routing protocol for low-power wake-up receivers

et al. 2017

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Wireless sensor networks are deployed in many monitoring applications but still suffer from short lifetimes originating from limited energy sources and storages. Due to their low-power consumption and their on-demand communication ability, wake-up receivers represent an energy efficient and simple enhancement to wireless sensor nodes and wireless sensor network protocols. In this context, wake-up receivers have the ability to increase the network lifetime. In this article, we present T-ROME, a simple and energy efficient cross-layer routing protocol for wireless sensor nodes containing wake-up receivers. The protocol makes use of the different transmission ranges of wake-up and main radios in order to save energy by skipping nodes during data transfer. With respect to energy consumption and latency, T-ROME outperforms existing protocols in many scenarios. Here, we describe and analyze the cross layer multi-hop protocol by means of a Markov chain model that we verify using a laboratory test setup.

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A Survey of Low-Power Transceivers and Their Applications

Cited by 50 publications

References 56 publications

A Low-Energy Application Specific Instruction-Set Processor towards a Low-Computational Lossless Compression Method for Stimuli Position Data of Artificial Vision Systems

A Low-Energy Application Specific Instruction-Set Processor towards a Low-Computational Lossless Compression Method for Stimuli Position Data of Artificial Vision Systems

From microwatt to gigabit: challenges of modern radio design

T-ROME: A simple and energy efficient tree routing protocol for low-power wake-up receivers

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