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The Future of Clean Computing May Be Dirty

Published: 11 October 2022 Publication History

Abstract

The emergence of the Internet of Things and pervasive sensor networks have generated a surge of research in energy scavenging techniques. We know well that harvesting RF, solar, or kinetic energy enables the creation of battery-free devices that can be used where frequent battery changes or dedicated power lines are impractical. One unusual yet ubiquitous source of power is soil (earth itself) - or more accurately, bacterial communities in soil. Microbial fuel cells (MFCs) are electrochemical cells that harness the activities of microbes that naturally occur in soil, wetlands, and wastewater. MFCs have been a topic of research in environmental engineering and microbiology for decades, but are a relatively new topic in electronics design and research. Most low-power electronics have traditionally opted for batteries, RF energy, or solar cells. This is changing, however, as the limitations and costs of these energy sources hamper our ability to deploy useful systems that last for decades in challenging environments. If large-scale, long-term applications like underground infrastructure monitoring, smart farming, and sensing for conservation are to be possible, we must rethink the energy source.

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  • (2024)Towards Deep Learning for Predicting Microbial Fuel Cell Energy OutputProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675358(330-338)Online publication date: 8-Jul-2024
  • (2024)Soil-Powered ComputingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314107:4(1-40)Online publication date: 12-Jan-2024
  1. The Future of Clean Computing May Be Dirty

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    cover image GetMobile: Mobile Computing and Communications
    GetMobile: Mobile Computing and Communications  Volume 26, Issue 3
    September 2022
    38 pages
    ISSN:2375-0529
    EISSN:2375-0537
    DOI:10.1145/3568113
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 11 October 2022
    Published in SIGMOBILE-GETMOBILE Volume 26, Issue 3

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    • (2024)Towards Deep Learning for Predicting Microbial Fuel Cell Energy OutputProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675358(330-338)Online publication date: 8-Jul-2024
    • (2024)Soil-Powered ComputingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314107:4(1-40)Online publication date: 12-Jan-2024

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