Ultra-Low-Power Digital Architectures for the Internet of Things

Rossi, Davide; Loi, Igor; Pullini, Antonio; Benini, Luca

doi:10.1007/978-3-319-51482-6_3

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…Energy harvesting capabilities can extend the operational lifetime but tend to be an unreliable source of energy. While energy efficiency is well-addressed by designers and researchers at the hardware level [9], it is often neglected by software developers, which are in many cases unaware of how energy-efficient software is specified [10,11]. While background activities and unnecessary resource usage are among the main reason for energy consumption problems [10], energy consumption needs careful consideration from the software perspective [12] because up to 80 percent of the system's total energy consumption is caused by the interaction between software and hardware [13].…”

Section: Motivationmentioning

confidence: 99%

Software Design of Energy-Aware Peripheral Control for Sustainable Internet-of-Things Devices

Uelschen¹,

Schaarschmidt²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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The resource-efficient development of technical devices is one of the most important non-functional requirements regarding global warming. This applies especially to the growing field of the (Industrial) Internet of Things. The energy consumption of such systems must be minimized to ensure a long operational lifetime. The realization requires exploiting the possibilities of the complete system (microcontroller and external peripherals) by the software application. However, software engineers are often unaware of the energy-saving properties of the hardware platform. This paper introduces a novel software framework that aims to bridge the gap between the hardware level and the application level. It enables vertical control, i.e., consistent access across multiple software architectural layers. This paper describes the framework in terms of design patterns, shows an implementation based on the C++20 standard, and concludes with an evaluation using a popular hardware platform.

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Section: Motivationmentioning

confidence: 99%

Software Design of Energy-Aware Peripheral Control for Sustainable Internet-of-Things Devices

Uelschen¹,

Schaarschmidt²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…With a few exceptions (mostly related to some self-heated chemical sensors [3]) and despite often sophisticated local computational capabilities, the most power-demanding SN operational step is data transmission [4]. This enables large classes of widely differentiated devices to be analyzed along.…”

Section: Power and Energy Requirements Of Snsmentioning

confidence: 99%

“…As anticipated, the engineering effort has led to develop ultra-low power processors, with power consumptions down to 15 mW (in their active state). Furthermore, MCUs spend most of their time in sleep mode, so that, unless the application requires a high computational workload, average power requirements remains negligible compared to radio transmission [4].…”

Section: Power and Energy Requirements Of Snsmentioning

confidence: 99%

Thermoelectric harvesters and the internet of things: technological and economic drivers

Narducci

2019

J. Phys. Energy

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The spectacular growth of networks of intercommunicating sensing nodes has generated a request for alternate, renewable power sources. Thermoelectric generators (TEGs), either conventional or integrated, are possible candidates. This paper analyzes the usability of TEGs as alternate power sources for wireless sensor network. It is shown how TEGs meet power requirements of low-power sensing nodes and how they outperform batteries as of the installation costs. Factors still hampering TEG wider use are also reviewed and commented upon, and an outlook at specific applications where TEGs might be rapidly deployed is provided.

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“…The Amazon FreeRTOS Curiosity PIC32MZ EF Bundle DM320104-BNDL has a Curiosity PIC32MZ EF IoT development board, a Wi-Fi board and an USB UART click board that is used for developing an AWS cloud-connected application. An ultra low power digital architecture for IoT is presented by authors in their research [29]. This bundle includes a LAN8720A PHY daughter board to create Ethernet-connected applications.…”

Section: Microchip Pic32 Curiosity Iot Development Boardmentioning

confidence: 99%

Embedded Development Platforms To Design Prototypes Of Internet Of Things (IoT) Applications: A Study

Mishra¹

2019

IJRAT

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In this paper a comprehensive study of different development platforms for Internet of Things (IoT) application are surveyed and a comparative analysis is presented. This paper reviews diverse spectrum of development platforms and a comparative analysis of different technical aspects is discussed. The major focus of this review paper is to give a quantitative analysis of embedded platforms with bare metal and Linux environment and their network connectivity to cloud analytics platforms. This review has considered some popular prototyping platforms like: Arduino UNO, Node MCU, Raspberry Pi3, Texas Instrument"s Beaglebone Black, Intel Galileo, XBEE® as well as some industry grade platforms like cypress Semiconductor"s PSoC4 BLE and microchip"s SoC PIC32 and SAM series embedded platforms. Comparative analysis is based on technical specifications, computation power, cost, reliability, learning curve and time to market.

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Ultra-Low-Power Digital Architectures for the Internet of Things

Cited by 14 publications

References 41 publications

Software Design of Energy-Aware Peripheral Control for Sustainable Internet-of-Things Devices

Software Design of Energy-Aware Peripheral Control for Sustainable Internet-of-Things Devices

Thermoelectric harvesters and the internet of things: technological and economic drivers

Embedded Development Platforms To Design Prototypes Of Internet Of Things (IoT) Applications: A Study

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