A batteryless 19&amp;#x03BC;W MICS/ISM-band energy harvesting body area sensor node SoC

Zhang, Fan; Zhang, Yanqing; Silver, Jason; Shakhsheer, Yousef; Nagaraju, Manohar; Klinefelter, Alicia; Pandey, Jagdish; Boley, James; Carlson, Eric; Shrivastava, Aatmesh; Otis, Brian; Calhoun, Benton H.

doi:10.1109/isscc.2012.6177004

Cited by 63 publications

(92 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 3 plots the change in power consumption of low-power LSI chips reported from 2007 to 2014 at ISSCC and VLSI Circuits [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37], which are the most popular international conferences in the semiconductor industry. It is found that there are three domains: milliwatt, microwatt, and nanowatt.…”

Section: Trends In Circuit Technology and Energy Harvestingmentioning

confidence: 99%

Ultra-low-power circuit techniques for mm-size wireless sensor nodes with energy harvesting

Morimura¹,

Oshima²,

Matsunaga³

et al. 2014

IEICE Electron. Express

View full text Add to dashboard Cite

This paper describes circuit techniques for energy-harvesting technology in millimeter-size ultra-low-power batteryless wireless sensor nodes as a front end for BigData, IoT, M2M, and ambient intelligence. Power generated by energy harvester becomes as small as the nanowatt level when the size of a sensor node becomes millimeter-size. First, technical trends in low-power circuits and the portfolio of energy harvesting and circuit technology are discussed from the viewpoints of technical and application issues. Then, circuit techniques for nanowatt level wireless sensor nodes -a zero-power vibration sensing circuit, power management with MEMS switch, and an intermitted RF transmitter -are explained.

show abstract

Section: Trends In Circuit Technology and Energy Harvestingmentioning

confidence: 99%

Ultra-low-power circuit techniques for mm-size wireless sensor nodes with energy harvesting

Morimura¹,

Oshima²,

Matsunaga³

et al. 2014

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…The sensor node has typically small physical dimensions and its components are inexpensive. To make these sensor nodes more appealing, communication is commonly based on the license-free industrial, scientific, and medical (ISM) frequency band [9], in order to further limit operational costs for the overall WSN installation and to enable direct use of off-the-shelf communication solutions [10].…”

Section: Overview Of Wireless Sensor Networkmentioning

confidence: 99%

Securing Cognitive Wireless Sensor Networks: A Survey

Fragkiadakis

Angelakis

Τράγος

2014

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) have gained a lot of attention recently due to the potential they provide for developing a plethora of cost-efficient applications. Although research on WSNs has been performed for more than a decade, only recently has the explosion of their potential applicability been identified. However, due to the fact that the wireless spectrum becomes congested in the unlicensed bands, there is a need for a next generation of WSNs, utilizing the advantages of cognitive radio (CR) technology for identifying and accessing the free spectrum bands. Thus, the next generation of wireless sensor networks is the cognitive wireless sensor networks (CWSNs). For the successful adoption of CWSNs, they have to be trustworthy and secure. Although the concept of CWSNs is quite new, a lot of work in the area of security and privacy has been done until now, and this work attempts to present an overview of the most important works for securing the CWSNs. Moreover, a discussion regarding open research issues is also given in the end of this work.

show abstract

“…These dramatically extended lifetimes are feasible without the need for attached batteries or are sustainable using energy harvesting techniques. For example, Zhang et al 3 present a reconfigurable system-on-chip (SoC) that is capable of processing data, including wireless transmissions, in electrocardiography (ECG), electromyography (EMG), and electroencephalography (EEG) applications that operate using thermoelectrically generated energy.…”

Section: Introductionmentioning

confidence: 99%

A Subthreshold Digital Library Using a Dynamic-Threshold Metal-Oxide Semiconductor (DTMOS) and Transmission Gate Logic

Lee¹,

Proie²

2014

View full text Add to dashboard Cite

Sensors and Electron Devices Directorate, ARLApproved for public release; distribution unlimited. ii REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)September 2014 ARL-TN-0635 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTES POC is Romeo Del Rosario and Dr Wilson ABSTRACTA digital library taking advantage of the subthreshold mode of operation is studied and different gate topologies are explored for trade-offs in area, power, and propagation delay. Lowering the supply voltage allows for significant reductions in power consumption due to the squared dependence on voltage in switching logic. Dynamic-threshold metal-oxide semiconductor (DTMOS) inverters were used to improve the speed of inverters and buffers. Transmission gate logic was used to implement arbitrary logic gates to avoid PUN/PDN imbalances of static logic gates in subthreshold. These modifications result in the added benefit of smaller and simpler implementation of XOR/XNOR, making for a more modular nature to implement the common logic gates. The library is used to implement 1-bit full adders and a CIC filter with low power consumption. iii SUBJECT TERMS

show abstract

A batteryless 19μW MICS/ISM-band energy harvesting body area sensor node SoC

Cited by 63 publications

References 6 publications

Ultra-low-power circuit techniques for mm-size wireless sensor nodes with energy harvesting

Ultra-low-power circuit techniques for mm-size wireless sensor nodes with energy harvesting

Securing Cognitive Wireless Sensor Networks: A Survey

A Subthreshold Digital Library Using a Dynamic-Threshold Metal-Oxide Semiconductor (DTMOS) and Transmission Gate Logic

Contact Info

Product

Resources

About