A complete design-flow for the generation of ultra low-power WSN node architectures based on micro-tasking

Proceedings - Design Automation Conference

Volumn , Issue , 2010, Pages 693-698

  Pasha, Muhammad Adeel ^a   Derrien, Steven ^a   Sentieys, Olivier ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

Hardware specialization; Low power design; Microcoded architecture; WSN node

Indexed keywords

ARCHITECTURAL MODELS; EMBEDDED SYSTEM DESIGN; LOW POWER; LOW-POWER DESIGN; LOW-POWER MICROCONTROLLERS; MICROCODED ARCHITECTURE; MICROTASKS; NEW TECHNOLOGIES; NODE ARCHITECTURES; ORDERS OF MAGNITUDE; POWER DISSIPATION; POWER SAVINGS; POWER-GATING; RESEARCH FIELDS; STRINGENT CONSTRAINTS; WSN NODE;

ARCHITECTURE; AUTOMATION; COMPUTER AIDED DESIGN; EMBEDDED SOFTWARE; NETWORK ARCHITECTURE;

WIRELESS SENSOR NETWORKS;

EID: 77956199726     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1837274.1837450     Document Type: Conference Paper

References (23)

1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. Wireless Sensor Networks:A Survey. Computer Networks, 38(4), March 2002.
2. Atmel Corporation. ATmega 103L 8-bit AVR Low-Power Microcontroller. Tech. Report, 2007.
3. Atmel Corporation. ATmega 128L 8-bit AVR Low-Power MCU. Tech. Report, 2009.
4. B. Gorjiara and D. Gajski. Automatic Architecture Refinement Techniques for Customizing Processing Elements. In DAC'08.
5. Crossbow Technology. Mica2 motes, http://www.xbow.com/.
6. A. Dunkels, B. Gronvall, and T. Voigt. Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors. in LCN'04, Nov. 2004.
7. P. Dutta, M. Grimmer, A. Arora, S. Bibyk, and D. Culler. Design of a Wireless Sensor Network Platform for Detecting Rare, Random, and Ephemeral Events. In Proceedings of IPSN '05, NJ, USA, 2005.
8. A. Fin, F. Fummi, and G. Perbellini. Soft-Cores Generation by Instruction Set Analysis. In Proceedings of ISSS '01, 2001.
9. R. Fonseca, P. Dutta, P. Levis, and I. Stoica. Quanto: Tracking Energy in Networked Embedded Systems. In OSDI'08, 2008.
10. C. W. Fraser, R. R. Henry, and T. A. Proebsting. BURG: Fast Optimal Instruction Selection and Tree Parsing. SIGPLAN Not., 27(4), 1992.
11. B. Gorjiara, M. Reshadi, and D. Gajski. Generic Architecture Description for Retargetable Compilation and Synthesis of Application-Specific Pipelined IPs. In ICCD'06, Oct. 2006.
12. S. Gupta, N. Dutt, R. Gupta, and A. Nicolau. SPARK: A High-Level Synthesis Framework for Applying Parallelizing Compiler Transformations. In Proceedings of VLSI'03, 2003.
13. INRIA, Tech. Project. PowWow, Protocol for Low Power Wireless Sensor Network, http://powwow.gforge.inria.fr/.
14. J. Cong, G. Han, and W. Jiang. Synthesis of an Application Specific Soft Multiprocessor System. In Proceedings of FPGA'07, February 2007.
15. S. Liao, S. Devadas, K. Keutzer, and S. Tjiang. Instruction Selection using Binate Covering for Code Size Optimization. In Proceedings of ICCAD'95, Nov 1995.
16. L.L'Hours. Generating Efficient Custom FPGA Soft-Cores for Control-Dominated Applications. In Proceedings of ASAP '05, Washington, DC, USA, 2005.
17. S. Mysore, B. Agrawal, F. Chong, and T. Sherwood. Exploring the Processor and ISA Design for Wireless Sensor Network Applications. In Proceedings of VLSI'08, Jan. 2008.
18. L. Nazhandali, M. Minuth, and T. Austin. SenseBench: Toward an Accurate Evaluation of Sensor Network Processors. In Proceedings of IISWC'05, Oct. 2005.
19. P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, D. Culler. TinyOS: An Operating System for Sensor Networks . Book Chapter in Ambient Intelligence by Springer, 2005.
20. V. Raghunathan, C. Schurgers, S. Park, and M. Srivastava. Energy-aware Wireless Microsensor Networks. IEEE Signal Processing Magazine, 19(2), Mar 2002.
21. S. Roundy, P. Wright, and J. Rabaey. Energy Scavenging for Wireless Sensor Networks: with Special Focus on Vibrations. Springer, 2004.
22. Texas Instruments. MSP430 User Guide. Tech. Report, 2009.
23. University of California, Berkeley. Tech. project: Smart dust.