A highly-adaptable and small-sized in-field power analyzer for low-power IoT devices

Ryosuke Kitayama, Takashi Takenaka, Masao Yanagisawa, Nozomu Togawa

    Research output: Contribution to journalArticle

    Abstract

    Power analysis for IoT devices is strongly required to protect attacks from malicious attackers. It is also very important to reduce power consumption itself of IoT devices. In this paper, we propose a highly-adaptable and small-sized in-field power analyzer for low-power IoT devices. The proposed power analyzer has the following advantages: (A) The proposed power analyzer realizes signal-averaging noise reduction with synchronization signal lines and thus it can reduce wide frequency range of noises; (B) The proposed power analyzer partitions a long-term power analysis process into several analysis segments and measures voltages and currents of each analysis segment by using small amount of data memories. By combining these analysis segments, we can obtain long-term analysis results; (C) The proposed power analyzer has two amplifiers that amplify current signals adaptively depending on their magnitude. Hence maximum readable current can be increased with keeping minimum readable current small enough. Since all of (A), (B) and (C) do not require complicated mechanisms nor circuits, the proposed power analyzer is implemented on just a 2.5 cm×3.3 cm board, which is the smallest size among the other existing power analyzers for IoT devices. We have measured power and energy consumption of the AES encryption process on the IoT device and demonstrated that the proposed power analyzer has only up to 1.17% measurement errors compared to a high-precision oscilloscope.

    Original languageEnglish
    Pages (from-to)2348-2362
    Number of pages15
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    VolumeE99A
    Issue number12
    DOIs
    Publication statusPublished - 2016 Dec 1

    Fingerprint

    Power Analysis
    Power Consumption
    Electric power utilization
    Noise Reduction
    Noise abatement
    Measurement errors
    Measurement Error
    Encryption
    Cryptography
    Energy Consumption
    Averaging
    Synchronization
    Energy utilization
    Voltage
    Attack
    Partition
    Internet of things
    Data storage equipment
    Networks (circuits)
    Line

    Keywords

    • IoT
    • Noise reduction
    • Power analyzer
    • Scalable measurement
    • Signal-averaging method

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Applied Mathematics
    • Electrical and Electronic Engineering

    Cite this

    A highly-adaptable and small-sized in-field power analyzer for low-power IoT devices. / Kitayama, Ryosuke; Takenaka, Takashi; Yanagisawa, Masao; Togawa, Nozomu.

    In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E99A, No. 12, 01.12.2016, p. 2348-2362.

    Research output: Contribution to journalArticle

    @article{8e43db132c054c8c8a8f7b5d58c54d50,
    title = "A highly-adaptable and small-sized in-field power analyzer for low-power IoT devices",
    abstract = "Power analysis for IoT devices is strongly required to protect attacks from malicious attackers. It is also very important to reduce power consumption itself of IoT devices. In this paper, we propose a highly-adaptable and small-sized in-field power analyzer for low-power IoT devices. The proposed power analyzer has the following advantages: (A) The proposed power analyzer realizes signal-averaging noise reduction with synchronization signal lines and thus it can reduce wide frequency range of noises; (B) The proposed power analyzer partitions a long-term power analysis process into several analysis segments and measures voltages and currents of each analysis segment by using small amount of data memories. By combining these analysis segments, we can obtain long-term analysis results; (C) The proposed power analyzer has two amplifiers that amplify current signals adaptively depending on their magnitude. Hence maximum readable current can be increased with keeping minimum readable current small enough. Since all of (A), (B) and (C) do not require complicated mechanisms nor circuits, the proposed power analyzer is implemented on just a 2.5 cm×3.3 cm board, which is the smallest size among the other existing power analyzers for IoT devices. We have measured power and energy consumption of the AES encryption process on the IoT device and demonstrated that the proposed power analyzer has only up to 1.17{\%} measurement errors compared to a high-precision oscilloscope.",
    keywords = "IoT, Noise reduction, Power analyzer, Scalable measurement, Signal-averaging method",
    author = "Ryosuke Kitayama and Takashi Takenaka and Masao Yanagisawa and Nozomu Togawa",
    year = "2016",
    month = "12",
    day = "1",
    doi = "10.1587/transfun.E99.A.2348",
    language = "English",
    volume = "E99A",
    pages = "2348--2362",
    journal = "IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences",
    issn = "0916-8508",
    publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
    number = "12",

    }

    TY - JOUR

    T1 - A highly-adaptable and small-sized in-field power analyzer for low-power IoT devices

    AU - Kitayama, Ryosuke

    AU - Takenaka, Takashi

    AU - Yanagisawa, Masao

    AU - Togawa, Nozomu

    PY - 2016/12/1

    Y1 - 2016/12/1

    N2 - Power analysis for IoT devices is strongly required to protect attacks from malicious attackers. It is also very important to reduce power consumption itself of IoT devices. In this paper, we propose a highly-adaptable and small-sized in-field power analyzer for low-power IoT devices. The proposed power analyzer has the following advantages: (A) The proposed power analyzer realizes signal-averaging noise reduction with synchronization signal lines and thus it can reduce wide frequency range of noises; (B) The proposed power analyzer partitions a long-term power analysis process into several analysis segments and measures voltages and currents of each analysis segment by using small amount of data memories. By combining these analysis segments, we can obtain long-term analysis results; (C) The proposed power analyzer has two amplifiers that amplify current signals adaptively depending on their magnitude. Hence maximum readable current can be increased with keeping minimum readable current small enough. Since all of (A), (B) and (C) do not require complicated mechanisms nor circuits, the proposed power analyzer is implemented on just a 2.5 cm×3.3 cm board, which is the smallest size among the other existing power analyzers for IoT devices. We have measured power and energy consumption of the AES encryption process on the IoT device and demonstrated that the proposed power analyzer has only up to 1.17% measurement errors compared to a high-precision oscilloscope.

    AB - Power analysis for IoT devices is strongly required to protect attacks from malicious attackers. It is also very important to reduce power consumption itself of IoT devices. In this paper, we propose a highly-adaptable and small-sized in-field power analyzer for low-power IoT devices. The proposed power analyzer has the following advantages: (A) The proposed power analyzer realizes signal-averaging noise reduction with synchronization signal lines and thus it can reduce wide frequency range of noises; (B) The proposed power analyzer partitions a long-term power analysis process into several analysis segments and measures voltages and currents of each analysis segment by using small amount of data memories. By combining these analysis segments, we can obtain long-term analysis results; (C) The proposed power analyzer has two amplifiers that amplify current signals adaptively depending on their magnitude. Hence maximum readable current can be increased with keeping minimum readable current small enough. Since all of (A), (B) and (C) do not require complicated mechanisms nor circuits, the proposed power analyzer is implemented on just a 2.5 cm×3.3 cm board, which is the smallest size among the other existing power analyzers for IoT devices. We have measured power and energy consumption of the AES encryption process on the IoT device and demonstrated that the proposed power analyzer has only up to 1.17% measurement errors compared to a high-precision oscilloscope.

    KW - IoT

    KW - Noise reduction

    KW - Power analyzer

    KW - Scalable measurement

    KW - Signal-averaging method

    UR - http://www.scopus.com/inward/record.url?scp=84999288029&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84999288029&partnerID=8YFLogxK

    U2 - 10.1587/transfun.E99.A.2348

    DO - 10.1587/transfun.E99.A.2348

    M3 - Article

    VL - E99A

    SP - 2348

    EP - 2362

    JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

    JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

    SN - 0916-8508

    IS - 12

    ER -