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Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues.

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Mobile crowdsensing (MCS) leverages smartphone sensors for disaster management, offering potential for faster, informed decisions. Current research is largely conceptual, highlighting a need for practical applications and experimental validation in real-world disaster scenarios.

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disaster managementemergency managementmobile crowdsensingmobile crowdsourcingsmartphone sensorssystematic literature review

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Area of Science:

  • Information and Communication Technologies (ICT)
  • Disaster Management
  • Mobile Crowdsensing (MCS)

Background:

  • Ubiquitous sensors generate massive heterogeneous data crucial for disaster management.
  • Smart mobile devices enable mobile crowdsensing (MCS) for data acquisition.
  • Effective data utilization enhances disaster management efficiency and reduces losses.

Purpose of the Study:

  • To systematically review the application of mobile crowdsensing in disaster management.
  • To analyze MCS based on sensor types, disaster categories, and management cycle phases.
  • To identify frameworks for integrating crowd-sensed data into decision-support systems.

Main Methods:

  • Systematic literature review.
  • Analysis of existing studies on mobile crowdsensing in disaster management.
  • Categorization based on sensor types, disaster types, and disaster management phases.

Main Results:

  • Most existing studies are conceptual, lacking experimental validation in real-world settings.
  • Limited emphasis on practical use cases of smartphone sensor-based crowdsensing during disasters.
  • Identification of research gaps and future directions for MCS in disaster management.

Conclusions:

  • Mobile crowdsensing holds significant potential for improving disaster management.
  • Further research is needed to address the conceptual nature of current studies.
  • Focus on experimental testing and real-world use cases is essential for practical implementation.