Low-Cost Sensing for Environmental Sustainability

Agustin Zuniga, Olapade Mayowa, Naser Hossein Motlagh, Mohan Liyanage, Zhigang Yin, Farooq Dar, Ngoc Thi Nguyen, Adeyinka Akintola, Marko Radeta, Sasu Tarkoma, Huber Flores, Petteri Nurmi

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Monitoring, understand, and being aware of pollutants is a key step in improving environmental sustainability, one of the grand challenges of our time. We contribute by presenting how low-cost sensing improves our understanding and awareness of environmental pollution by increasing coverage and resolution of available information, paving the way toward solutions that improve environmental sustainability. We first present a high-level vision of how pervasive sensing can capture information of wide range of pollutants and challenges encountered in our research. We then highlight the potential of low-cost sensing to address environmental sustainability and challenges in adopting low-cost sensing through three use cases drawn from our existing and ongoing research, including littering, urban air quality, and marine plastics. We also reflect on key research issues for low-cost sensing and future directions with the dual aim of highlighting an important emerging research area and paving the way toward future research in this field.
Original languageEnglish
JournalIEEE Pervasive Computing
ISSN1536-1268
DOIs
Publication statusPublished - 10 Sept 2024
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 113 Computer and information sciences
  • Sensing
  • pervasive computing
  • environmental sustainability

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