CAREER: Energy-Efficient Sensor Networks Using Analog Signal Processing

Sponsor: National Science Foundation

Abstract: Wide-scale deployment of wireless sensor networks has been hindered primarily by the inability to endure for long durations on small power sources. The focus of this project is on creating computationally efficient electronics to extend the lifetimes of wireless sensor nodes. Ultra-low-power analog circuitry is used to provide additional computational resources at each sensor node while simultaneously reducing the total power consumed. This project systematically addresses how to effectively use analog signal processing in a wide variety of wireless sensor network applications by investigating (1) the creation of modifiable, easy-to-use smart-sensor architectures for ultra-low-power computation, (2) continuous-time signal-processing approaches for event-detection systems (including biologically inspired processing), and (3) ultra-low-power memory storage and data conversion techniques.

Publications

• S. Bhattacharyya and D. Graham, “Amplitude-regulated quadrature sine-VCO employing an OTA-C topology,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 6, pp. 1886-1890, June 2023.
• S. Andryzcik and D. Graham, “Linearization of voltage-controlled oscillators using floating-gate transistors,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 7, pp. 2337-2341, July 2021.
• B. Rumberg, S. Clites, H. Abulaiha, A. DiLello, and D. Graham, “Continuous-time programming of floating-gate transistors for nonvolatile analog memory arrays,” in Journal of Low Power Electronics and Applications, vol. 11, no. 1, 21 pages, January 13, 2021.
• S. Bhattacharyya, S. Andryzcik, and D. Graham, "An acoustic vehicle detector and classifier using a reconfigurable analog/mixed-signal platform," in Journal of Low Power Electronics and Applications, vol. 10, no. 1, 22 pages, February 20, 2020.
• M. Navidi and D. Graham, "A regulated charge pump with extremely low output ripple," in Electronics, vol. 8, no. 11, 16 pages, November 3, 2019.
• B. Kelly, A. DiLello, and D. Graham, "Reconfigurable analog preprocessing for efficient asynchronous analog-to-digital conversion," in Journal of Low Power Electronics and Applications, vol. 9, no. 3, 18 pages, August 12, 2019. 
  
• M. Navidi and D. Graham, "A low-power voltage reference cell with a 1.5 V output," in Journal of Low Power Electronics and Applications, vol. 8, no. 2, 12 pages, June 14, 2018. 
• A. Dilello, S. Andryzcik, B. Kelly, B. Rumberg, and D. Graham, "Temperature compensation of floating-gate transistors in field-programmable analog arrays," in Proceedings of the IEEE Symposium on Circuits and Systems, Baltimore, MD, May 2017, pp. 262-265.  
• M. Navidi, D. Graham, and B. Rumberg, "Below-ground injection of floating-gate transistors for programmable analog circuits," in Proceedings of the IEEE Symposium on Circuits and Systems, Baltimore, MD, May 2017, pp. 485-488. 
  
• M. Navidi and D. Graham, "A regulated charge pump for injecting floating-gate transistors," in Proceedings of the IEEE Symposium on Circuits and Systems, Baltimore, MD, May 2017, pp. 2270-2273.
• B. Rumberg, D. Graham, and M. Navidi, "A regulated charge pump for tunneling floating-gate transistors,” in IEEE Transactions on Circuits and Systems I, vol. 64, no. 3, pp. 516-527, March 2017.
• B. Kelly and D. Graham, "An asynchronous ADC with reconfigurable analog pre-processing," in Proceedings of the IEEE Symposium on Circuits and Systems, Montreal, QC, 2016, pp. 1062-1065.
• A. Dilello, B. Rumberg, and D. Graham, “Multiplexing high-side load switch using adaptive well biasing,” in Electronics Letters, vol. 52, no. 12, pp. 1056-1058, June 9, 2016.
  
• B. Rumberg, D. Graham, S. Clites, B. Kelly, M. Navidi, A. Dilello, and V. Kulathumani, "RAMP: Accelerating wireless sensor design with a  reconfigurable analog/mixed-signal platform," in Proceedings of the ACM/IEEE Conference on Information Processing in Sensor Networks, Seattle, WA, April 2015, pp. 47-58.  
• B. Kelly, B. Rumberg, D. Graham, V. Kulathumani, S. Clites, A. Dilello, and M. Navidi, "Demonstration Abstract: RAMP: Accelerating Wireless Sensor Hardware Design with a Reconfigurable Analog/Mixed-Signal Platform," in Proceedings of the ACM/IEEE Conference on Information Processing in Sensor Networks, Seattle, WA, April 2015, pp 402-403. 
• B. Rumberg and D. Graham, "A low-power field-programmable analog array for wireless sensing," in Proceedings of the International Symposium on Quality Electronic Design, Santa Clara, CA, March 2015, pp. 542-546.  Winner of Best Paper Award. 
  
• B. Rumberg and D. Graham, "Efficiency and reliability of Fowler-Nordheim tunnelling in CMOS floating-gate transistors," in Electronics Letters, vol. 49, no. 23, pp. 1484-1486, November 7, 2013. 
  
• B. Kelly, B. Rumberg, D. Graham, V. Kulathumani, "Reconfigurable analog signal processing for wireless sensor networks," in Proceedings of the IEEE Midwest Symposium on Circuits and Systems, Columbus, OH, August 2013, pp. 221-224. 
• B. Rumberg and D. Graham, "Reconfiguration costs in analog sensor interfaces for wireless sensing applications," in Proceedings of the IEEE Midwest Symposium on Circuits and Systems, Columbus, OH, August 2013, pp. 321-324. 
• B. Rumberg, B. Kelly, D. Graham, and V. Kulathumani, "Demo Abstract: Netamorph: Field-programmable analog arrays for energy-efficient sensor networks," in Proceedings of the ACM/IEEE Conference on Information Processing in Sensor Networks, Philadelphia, PA, April 2013, pp. 309-310. 
  

People
PI: David Graham
Graduate Students: Haifa Abulaiha, Steven Andryzcik, Jared Baker, Spencer Clites, Alexander Dilello, Brandon Kelly, Mir Mohammad Navidi, and Brandon Rumberg
Undergraduate Students: Steven Andryzcik, Jared Baker, William Chicchirichi, Daniel Gilmore, Dane Hamilton, Garrett Michael, Jeffrey Owens, and Stallone Sabatier

This material is based upon support by the National Science Foundation under Award No. CNS-1148815. 

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).