Literature DB >> 31865884

Energy-driven computing.

Sivert T Sliper1, Oktay Cetinkaya1, Alex S Weddell1, Bashir Al-Hashimi1, Geoff V Merrett1.   

Abstract

For decades, the design of untethered devices has been focused on delivering a fixed quality of service with minimum power consumption, to enable battery-powered devices with reasonably long deployment lifetime. However, to realize the promised tens of billions of connected devices in the Internet of Things, computers must operate autonomously and harvest ambient energy to avoid the cost and maintenance requirements imposed by mains- or battery-powered operation. But harvested power typically fluctuates, often unpredictably, and with large temporal and spatial variability. Energy-driven computers are designed to treat energy-availability as a first-class citizen, in order to gracefully adapt to the dynamics of energy harvesting. They may sleep through periods of no energy, endure periods of scarce energy, and capitalize on periods of ample energy. In this paper, we describe the promise and limitations of energy-driven computing, with an emphasis on intermittent operation. This article is part of the theme issue 'Harmonizing energy-autonomous computing and intelligence'.

Keywords:  batteryless computing; energy harvesting; energy-driven computing; intermittent computing

Year:  2019        PMID: 31865884      PMCID: PMC6939240          DOI: 10.1098/rsta.2019.0158

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring.

Authors:  Michele Magno; Lukas Sigrist; Andres Gomez; Lukas Cavigelli; Antonio Libri; Emanuel Popovici; Luca Benini
Journal:  Sensors (Basel)       Date:  2019-06-19       Impact factor: 3.576

  1 in total

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