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Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density

Mikel Celaya-Echarri1, Leyre Azpilicueta2, Peio López-Iturri3,4

  • 1School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, 64849 NL, Mexico.

Sensors (Basel, Switzerland)
|August 14, 2019
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Summary
This summary is machine-generated.

This study analyzes radio wave propagation in urban environments for wireless sensor networks. It uses a 3D ray launching algorithm to estimate coverage, capacity, and interference in high-density scenarios.

Keywords:
3D ray launchinghigh-node densityinterference characterizationperformance evaluationsmart citieswireless sensor networks

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Area of Science:

  • Wireless communication systems
  • Electromagnetics and propagation
  • Smart region and city technologies

Background:

  • Smart regions require ubiquitous connectivity, necessitating advanced wireless systems.
  • High transceiver density in urban environments poses challenges for coverage, capacity, and interference.
  • Effective radio wave propagation analysis is crucial for reliable wireless sensor networks.

Purpose of the Study:

  • To characterize radio wave propagation in a complex urban indoor/outdoor wireless sensor network environment.
  • To assess the impact of variable transceiver density on system performance.
  • To provide tools for interference characterization and network performance optimization.

Main Methods:

  • Utilized a 3D ray launching (3D-RL) algorithm with hybrid code operation.
  • Simulated radio wave propagation at ISM 2.4 GHz and 5 GHz frequency bands.
  • Assessed an auditorium scenario in an open city area with surrounding vegetation and variable user density.

Main Results:

  • Provided estimations for coverage, capacity, and interference levels.
  • Characterized multipath propagation components, including received power levels and time-domain characteristics.
  • Demonstrated the impact of high-node density on overall system operation and interference.

Conclusions:

  • The developed simulation methodology enables adequate interference characterization for complex environments.
  • The findings are extensible to various scenarios, including conventional and wearable transceivers.
  • This research supports improved network performance in crowded, heterogeneous indoor and outdoor settings.