Circuits and protocols for low duty cycle wireless systems
Name
953525307-MIT.pdf
Description
Full printable version
Size
3.71 MB
Format
Adobe PDF
Checksum (MD5)
8597ee4ab618be0fd6b868764f3f4a80
Author(s)
Paidimarri, Arun
Advisor(s)
Anantha P. Chandrakasan.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
IoT devices are helping improve efficiency and expanding capabilities in an increasing number of applications including industrial, home and personal fitness. Device lifetimes are still a concern, and improved energy efficiency is needed. Additionally, aggressive duty cycling is needed to operate these IoT devices in severely energy-constrained applications. Wireless communication, which consumes a large fraction of the power in these devices, is the primary focus of this thesis. We present circuit (active RF, leakage management and timing) and protocol (medium access and coding) techniques for total power minimization in low duty cycle systems. First, we present a Bluetooth Low Energy (BLE) transmitter optimized for low duty cycles. It maintains a high efficiency >40% while delivering +10dBm. At the same time, aggressive power gating brings the leakage down to <400pW, giving an on/off power ratio of 7.6 x 10⁷. Second, we look at protocols for low duty cycle wireless communication. The tradeoffs between network capacity and sensor node power consumption are considered and a fully asynchronous protocol is proposed. Additionally, we look at two coding techniques, Digital Network Coding (DNC) and Spinal coding, to enhance the intrinsic range of communication. Finally, for systems requiring accurate clocks, the standard is to use crystal oscillators. However, in order to reduce cost and board area, we propose a fully-integrated RC oscillator architecture that achieves high stability while maintaining low power. Overall, the techniques explored in this thesis aim to expand operation of IoT devices to ever more energy constrained situations and with increased lifetimes.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 191-200).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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