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On the development of flexible mobile multi-sensor units based on open-source hardware platforms and a reference

Franklin Oliveira1, Daniel G Costa2, Ivanovitch Silva3

  • 1UEFS-PGCC, State University of Feira de Santana, Feira de Santana, Brazil.

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Summary

This study explores the MSensorMob2 hardware framework for mobile IoT sensing in areas with intermittent connectivity. It analyzes open-source platforms for cost, deployment, and performance in dynamic environments.

Keywords:
Development frameworkInternet of ThingsMobile sensingOpen-source hardware platformsSmart cities

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Area of Science:

  • Internet of Things (IoT)
  • Mobile Sensing
  • Hardware Frameworks

Background:

  • Mobile entities are key data sources in some IoT applications, necessitating sensor integration.
  • Standardized hardware frameworks offer advantages for complex, dynamic sensing scenarios, especially with intermittent connectivity.

Purpose of the Study:

  • To evaluate the MSensorMob2 multi-sensor hardware framework for mobile sensing in environments with disconnection periods.
  • To assess the suitability of various open-source hardware platforms for implementing the MSensorMob2 framework.

Main Methods:

  • Implementation of the MSensorMob2 framework on selected open-source hardware.
  • Conducting comprehensive analyses of sensing, transmission, and reconfiguration functions.
  • Evaluating cost, deployment constraints, and performance of different hardware platforms.

Main Results:

  • The MSensorMob2 framework provides essential functions for mobile sensing in challenging environments.
  • Analysis revealed varying costs, deployment complexities, and performance metrics across different open-source hardware platforms.
  • Specific hardware platforms demonstrated trade-offs suitable for different application requirements.

Conclusions:

  • The MSensorMob2 framework is a viable solution for mobile IoT sensing in areas with intermittent connectivity.
  • Selection of an appropriate open-source hardware platform is critical for optimizing cost, deployment, and performance.
  • This research provides valuable insights for researchers and developers designing mobile sensing systems.