Vyasa Sai, Ajay Ogirala, and Marlin H. Mickle
[1] D. Cotroneo, A. Migliaccio, and S. Russo, Reliable monitoring of network-related performance parameters in wireless environments, Proc. 10th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems, Sedona, AZ, USA, 2005, 271–278. [2] N. Cho et al., A 8-uw, 0.3-mm RF-powered transponder with temperature sensor for wireless environment monitoring, IEEE International Symposium on Circuits and Systems, 5, 2005, 4763–4766. [3] M. Minhong, RFID radio circuit design in CMOS, Ansoft, Technical Report, Ansoft Corporation, Pittsburgh, Pennsylvania, USA, 2006. [4] A. Ageev, Manchester decoder and clock recovery module for FPGA prototype of active RFID tag, Technical Report, Berkeley Wireless Research Center Electrical Engineering and Computer Science Department, University of California, Berkeley, 2009. [5] EPC Radio-Frequency Identity Protocols Class-1 Generation-2 UHF RFID Protocols for Communications at 860 MHz–960 MHz, Ver 1.1.0, EPCGlobal, 2005, available: http://www.gs1.org/gsmp/kc/epcglobal/uhfc1g2 [6] V. Sai, A. Ogirala, and M.H. Mickle, Low power RFID design using custom asynchronous passive computer, Journal of Low Power Electronics, 6(4), 2010, 545–550. [7] N. Chabini and W. Wolf, An approach for reducing dynamic power consumption in synchronous sequential digital designs, Design Automation Conference, 2004. Proceedings of the ASP-DAC 2004. Asia and South Pacifich, 198–204, 27–30 Jan. 2004. [8] V. Sai, A. Ogirala, and M.H. Mickle, Low-power data driven symbol decoder for a UHF passive RFID tag, Journal of Low Power Electronics, 8(1), 2012, 58–62. [9] Arizona State University, Predictive Technology Model (PTM), Online available at: http://ptm.asu.edu/. [10] V. Sai, Low power wireless SIMD architecture: A passive remote execution Unit, PhD Dissertation in Process (unpublished). [11] V. Sai, A. Ogirala, and M.H. Mickle, Low power solutions for wireless passive sensor network (WPSN) node processor architecture, in F. Hu and Q. Hao (eds), Intelligent sensor networks: Across sensing, signal processing, and machine learning (New York, NY: Taylor & Francis LLC, CRC Press, 2012).
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