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Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues.

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This study explores crowdsensing for air quality monitoring in smart cities using the Internet of Things (IoT). It analyzes technologies and designs a mobile sensor to empower consumers with environmental data.

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Area of Science:

  • Environmental Science
  • Computer Science
  • Urban Planning

Background:

  • Smart Cities are increasingly integrating the Internet of Things (IoT) paradigm.
  • Crowdsensing offers a distributed, collaborative, and cost-effective solution for environmental monitoring.
  • Existing environmental sensing devices have not yet reached widespread consumer adoption.

Purpose of the Study:

  • To analyze candidate technologies for crowdsensing architectures in smart cities.
  • To define requirements for empowering users with air quality monitoring capabilities.
  • To present the design of an off-the-shelf mobile environmental sensor.

Main Methods:

  • Overview of relevant Internet of Things (IoT) architectures and protocols.
  • Analysis of hardware options for developing mobile environmental sensing units.
  • Discussion of technical challenges in implementing crowdsensing for air quality.

Main Results:

  • Identification of suitable IoT technologies for environmental crowdsensing.
  • Conceptual design of a mobile air quality monitoring sensor.
  • Exploration of hardware choices and associated technical issues for consumer-grade sensors.

Conclusions:

  • Crowdsensing presents a viable approach for distributed air pollution monitoring in urban areas.
  • The development of off-the-shelf mobile sensors can enable widespread user participation in environmental monitoring.
  • Further research into hardware and system integration is needed to realize consumer-ready air quality sensing solutions.