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Mobile sensing systems
Elsa Macias1, Alvaro Suarez, Jaime Lloret
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.
Sensors (Basel, Switzerland)
|December 20, 2013
Summary
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.
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.
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