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  • 1Grupo de Arquitectura y Concurrencia (GAC), Departamento de Ingeniería Telemática, Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria (Gran Canaria) 35017, Spain. elsa.macias@gmail.com.

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This summary is machine-generated.

Mobile sensing leverages smartphones for data collection, facing challenges like privacy and energy use. This study reviews barriers and proposes solutions for efficient, secure, and user-friendly mobile sensing systems.

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Area of Science:

  • Ubiquitous and Mobile Sensing
  • Human-Computer Interaction
  • Sensor Networks

Background:

  • Smartphones with rich sensors enable mobile sensing, a subfield of ubiquitous sensing.
  • Mobile sensing encompasses diverse approaches (participatory, opportunistic) and domains (urban, vehicular).
  • Existing research partially addresses barriers to mobile sensing adoption.

Purpose of the Study:

  • To comprehensively review social and technical barriers in mobile sensing systems.
  • To propose efficient implementation strategies for sensing, fusion, learning, security, privacy, and energy saving.
  • To reduce the high complexity and learning curve associated with mobile sensing systems.

Main Methods:

  • Literature review of existing surveys and new works on mobile sensing.
  • Analysis of social barriers (privacy, laws, incentives) and technical barriers (energy, sensor management).
  • Proposal of integrated solutions for sensing, data fusion, machine learning, security, privacy, and energy efficiency.

Main Results:

  • Identified key social barriers: privacy concerns, legal restrictions, and lack of economic incentives.
  • Highlighted technical challenges: energy consumption and diverse sensor/software management.
  • Presented a holistic approach to overcome these barriers for various mobile sensing systems.

Conclusions:

  • Mobile sensing holds significant potential but requires addressing adoption barriers.
  • Integrated solutions for sensing, fusion, learning, security, privacy, and energy saving are crucial.
  • Further research is needed to tackle realistic challenges and simplify mobile sensing system implementation.