Abstract
The development of wireless sensor networks has revolutionized our lifestyles. The sensor networks can be used for various applications like military surveillance, environment monitoring, medical diagnosis etc. The body area network is defined as a wireless sensor network used for medical diagnosis. The body area networks have to do continuous health monitoring and to provide real-time feedback. The body area networks facilitate continuous monitoring of the physiological parameters. This continuous monitoring for the large time intervals in the natural environment offers better results compared to the physiological parameters obtained from the short duration monitoring.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. Asenov, Random dopant induced threshold voltage lowering and fluctuations in sub-0.1 m MOSFETs: a 3-D atomistic simulation study. IEEE Trans. Electron Devices 45(12), 2505–2513 (1998)
G. Chen et al., Millimeter-Scale nearly perpetual sensor system with stacked battery and solar cells, in Proceedings of IEEE International Solid State Circuits Conference (ISSCC), pp. 288–289, (2010)
S. Cosemans, W. Dehaene, F. Catthoor, A 3.6pJ/Access 480 MHz, 128 kbit On-Chip SRAM with 850 MHz boost mode in 90 nm CMOS with tunable sense amplifiers, IEEE J.Solid State Circuits, pp. 2065–2077, (2009)
G. Declerck, A look into the future of nanoelectronics, Digest of Technical Papers of the 2005 Symposium on VLSI Technology, pp. 6–10 (2005)
G. Gielen, W. Dehaene, Analog and digital circuit design in 65 nm CMOS: end of the road? in Proceedings of Design, Automation and Test in Europe (DATE), pp. 37–42, (2005)
B. Gyselinckx et al., Human ++: autonomous wireless sensors for body area networks, in Proceedings of IEEE Custom Integrated Circuits Conference (CICC), pp. 13–19, (2005)
J. Hulzink et al., An ultra low energy biomedical signal processing system operating at near-threshold. IEEE Tran. Biomed. Circuits Syst. 5(6), 546–554 (2011)
N. Ickes, D. Finchelstein, A.P. Chandrakasan, A 10-pJ/instruction, 4-MIPS Micropower DSP for Sensor Applications, IEEE Asian Solid-State Circuits Conference, pp. 289–292, (2008)
N. Ickes et al., A 10pJ/cycle ultra low voltage 32-bit microprocessor system-on-chip, in Proceedings of IEEE European Solid State Circuits Conference (ESSCIRC), pp. 159–162, (2011)
R.S.H. Istepanian et al., Guest editorial introduction to the special introduction to the special section on m-health: beyond seamless mobility and global wireless health—care connectivity. IEEE Trans. Inf Technol. Biomed. 8(4), 405–411 (2004)
J. Kwong et al., A 65 nm sub-vt microcontroller with integrated SRAM and switched capacitor DC-DC converter. IEEE J. Solid-State Circuits 44(1), 115–126 (2009)
D. Malan et al., Code blue: an ad hoc sensor network infrastructure for emergency medical care, in Proceedings of International Workshop Wearable Implantable Body Sensor Network (2004)
S. Park et al., Enhancing the quality of life through wearable technology. IEEE Eng. Med. Biol. Mag. 22(3), 41–48 (2003)
M. Pelgrom et al., Matching properties of MOS transistors, IEEE J. Solid-State Circuits, pp. 1433–1439 (1989)
J. Ryckaert et al., A CMOS ultra-wide-band receiver for low data-rate communication. IEEE J. Solid-State Circuits 42(11), 2515–2527 (2007)
M. Seok et al., The Phoenix processor: a 30 pW platform for sensor applications, in Symposium on VLSI Circuits Digest of Technical Papers, pp. 188–189, (2008)
J.B. Shyu, G.C. Temes, K. Yao, Random errors in MOS capacitors. IEEE J. Solid-State Circuits SC-17(6), 1070–1076 (1982)
M. Verma, P. Marwedel, Advance memory optimization techniques for low-power embedded processors, ISBN 978-1-4020-5896-7, (Springer, Netherlands, 2007)
M. Yamaoka et al., Low power SRAM menu for SOC application using Yin-Yang-feedback memory cell technology, in Digest of Technical Papers of Symposium on VLSI Technology, pp. 288–291, (2004)
M. Yamaoka et al., 90 nm process-variation adaptive embedded SRAM modules with power-line-floating write technique. IEEE J. Solid-State Circuits 41(3), 705–711 (2006)
K. Zhang et al., The scaling of data sensing schemes for high speed cache design in sub-0.18 um technologies, in Symposium on VLSI Circuits Digest of Technical Papers, pp. 226–227, (2000)
B. Zhai et al., A 2.60pJ/Inst sub-threshold sensor processor for optimal energy efficiency, in Symposium on VLSI Circuits Digest of Technical Papers, pp. 154–155 (2006)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Sharma, V., Catthoor, F., Dehaene, W. (2013). Introduction. In: SRAM Design for Wireless Sensor Networks. Analog Circuits and Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4039-0_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4039-0_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4038-3
Online ISBN: 978-1-4614-4039-0
eBook Packages: EngineeringEngineering (R0)