This paper describes circuit techniques for energy-harvesting technology in millimeter-size ultra-low-power batteryless wireless sensor nodes as a front end for BigData, IoT, M2M, and ambient intelligence. Power generated by energy harvester becomes as small as the nanowatt level when the size of a sensor node becomes millimeter-size. First, technical trends in low-power circuits and the portfolio of energy harvesting and circuit technology are discussed from the viewpoints of technical and application issues. Then, circuit techniques for nanowatt level wireless sensor nodes -a zero-power vibration sensing circuit, power management with MEMS switch, and an intermitted RF transmitter -are explained.
This paper presents a uniquely distributed identification number generation circuit based on process variation. The developed circuit utilizes current mismatch in an NMOS pair for unique ID output. To evaluate the output 1/0 probability-uniformity and process dependence, we fabricated a prototype in two different 0.18-µm standard CMOS technologies. We tested 382 chips and calculated the hamming distances between each chip. The results show the hamming distance distribution agrees with theoretical binominal distribution in mean and skewness. However, the distribution is a little wider than the theoretical one. We investigated the reason for the difference and found that circuit layout irregularity causes degradation in standard deviation and kurtosis. When the bits at both ends are excluded, the ID outputs agree with theoretical statistics. The results show the circuit architecture generates a unique and process-independent ID.
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