Nano-Engineered Architectures for Ultra-Low Power Wireless Body Sensor Nodes

被引:1
作者
Braojos, Ruben [1 ]
Atienza, David [1 ]
Aly, Mohamed M. Sabry [2 ]
Wu, Tony F. [2 ]
Wong, H. -S. Philip [2 ]
Mitra, Subhasish [2 ]
Ansaloni, Giovanni [3 ]
机构
[1] Ecole Polytech Fed Lausanne, CH-1005 Lausanne, Switzerland
[2] Stanford Univ, Stanford, CA 94305 USA
[3] Univ Svizzera Italiana, CH-6900 Lugano, Switzerland
来源
2016 INTERNATIONAL CONFERENCE ON HARDWARE/SOFTWARE CODESIGN AND SYSTEM SYNTHESIS (CODES+ISSS) | 2016年
关键词
PROCESSOR;
D O I
10.1145/2968456.2968464
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless body sensor nodes (WBSNs) are miniaturized devices that are able to acquire, process and transmit bio-signals (such as electrocardiograms, respiration or human-body kinetics). WBSNs face major design challenges due to extremely limited power budgets and very small form factors. We demonstrate, for the first time in the literature, the use of disruptive nanotechnologies to create new nano-engineered ultra-low power (ULP) WBSN architectures. Compared to state-of-the-art multi-core WBSN designs, our new architectures dramatically reduce power consumption by 5.42x and footprint by 5x, while fulfilling realtime processing requirements of bio-signal monitoring applications. Our WBSN architectures achieve these results by utilizing emerging non-volatile memory technologies (such as resistive RAM and spin-transfer torque RAM) and their ultradense and fine-grained three-dimensional integration with logic (such as monolithic three-dimensional integration naturally enabled by carbon nanotube field-effect transistors).
引用
收藏
页数:10
相关论文
共 44 条
  • [31] An Energy-Efficient Biomedical Signal Processing Platform
    Kwong, Joyce
    Chandrakasan, Anantha P.
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2011, 46 (07) : 1742 - 1753
  • [32] Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes
    Mamaghanian, Hossein
    Khaled, Nadia
    Atienza, David
    Vandergheynst, Pierre
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2011, 58 (09) : 2456 - 2466
  • [33] Nigam A., 2011, 2011 International Symposium on Low Power Electronics and Design (ISLPED 2011), P121, DOI 10.1109/ISLPED.2011.5993623
  • [34] Development and Evaluation of Multilead Wavelet-Based ECG Delineation Algorithms for Embedded Wireless Sensor Nodes
    Rincon, Francisco
    Recas, Joaquin
    Khaled, Nadia
    Atienza, David
    [J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2011, 15 (06): : 854 - 863
  • [35] Advanced CMOS transistors with a novel HfSiON gate dielectric
    Rotondaro, ALP
    Visokay, NR
    Chambers, JJ
    Shanware, A
    Khamankar, R
    Bu, H
    Laaksonen, RT
    Tsung, L
    Douglas, M
    Kuan, R
    Bevan, MJ
    Grider, T
    McPherson, J
    Colombo, L
    [J]. 2002 SYMPOSIUM ON VLSI TECHNOLOGY, DIGEST OF TECHNICAL PAPERS, 2002, : 148 - 149
  • [36] The Phoenix Processor: A 30pW platform for sensor applications
    Seok, Mingoo
    Hanson, Scott
    Lin, Yu-Shiang
    Foo, Zhiyoong
    Kim, Daeyeon
    Lee, Yoonmyung
    Liu, Nurrachman
    Sylvester, Dennis
    Blaauw, David
    [J]. 2008 SYMPOSIUM ON VLSI CIRCUITS, DIGEST OF TECHNICAL PAPERS, 2008, : 188 - 189
  • [37] Shulaker M., 2014, IEDM
  • [38] Microwatt Embedded Processor Platform for Medical System-on-Chip Applications
    Sridhara, Srinivasa R.
    DiRenzo, Michael
    Lingam, Srinivas
    Lee, Seok-Jun
    Blazquez, Raul
    Maxey, Jay
    Ghanem, Samer
    Lee, Yu-Hung
    Abdallah, Rami
    Singh, Prashant
    Goel, Manish
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2011, 46 (04) : 721 - 730
  • [39] Wei H., 2013, Tech. Dig. - Int. Electron Devices Meet. IEDM, P511, DOI DOI 10.1109/IEDM.2013.6724663
  • [40] Wong H.-S.P., Stanford Memory Trends