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Transmission Power Influence on WSN-Based Indoor Localization Efficiency.

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Optimizing wireless sensor network transmission power is key for accurate indoor localization. Higher power levels improved target positioning quality in our experiment, suggesting adjustments for better performance.

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Area of Science:

  • Wireless Sensor Networks (WSN)
  • Indoor Localization Technologies
  • Internet of Things (IoT)

Background:

  • Indoor localization is complex, influenced by radio wave propagation, environment, and infrastructure.
  • An Internet of Things (IoT) wireless sensor network (WSN) testbed was used for an indoor localization experiment.
  • The study investigated the impact of transmission power levels on signal quality and target localization accuracy.

Purpose of the Study:

  • To evaluate the effect of varying transmission power levels on indoor localization performance.
  • To determine the optimal transmission power for achieving high-quality received signals and precise positional coordinates.
  • To identify factors influencing localization accuracy within an IoT WSN environment.

Main Methods:

  • Utilized a received signal strength indicator (RSSI) range-based localization system.
  • Employed a geometrical constrained weighted least squares (WLS) estimator multilateration technique.
  • Validated the influence of transmission power levels on the localization algorithm's performance.

Main Results:

  • Fair localization quality was achieved at the highest tested transmission power level.
  • The results deviated from the initially proposed transmission power level for optimal performance.
  • Signal quality and positional accuracy were directly correlated with transmission power adjustments.

Conclusions:

  • Higher transmission power levels are beneficial for achieving better indoor localization quality.
  • Further research is needed to identify additional factors influencing operational transmission power requirements.
  • Improvements in infrastructure configuration are suggested for future enhancements in localization accuracy.