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Experimental Evaluation of an RSSI-Based Localization Algorithm on IoT End-Devices.

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Summary
This summary is machine-generated.

This study experimentally evaluates a wireless sensor network localization algorithm on Internet of Things devices. Real-world tests reveal accuracy differences compared to simulations, highlighting the need for resource-aware algorithm evaluation.

Keywords:
FRORFIoTRSSIlocalizationwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Embedded Systems

Background:

  • Wireless Sensor Networks (WSNs) are integral to the Internet of Things (IoT), often requiring location data for applications.
  • Existing WSN localization algorithms frequently rely on simulations, neglecting the resource constraints of end-devices.
  • Accurate localization is crucial for many IoT applications utilizing WSNs.

Purpose of the Study:

  • To experimentally evaluate a Received Signal Strength Indicator (RSSI)-based localization algorithm on resource-constrained IoT end-devices.
  • To compare the performance of the modified Fuzzy Ring-Overlapping Range-Free (FRORF) algorithm in real-world scenarios versus simulations.
  • To assess the execution time and overhead of the algorithm on actual IoT hardware.

Main Methods:

  • Implementation of a modified Fuzzy Ring-Overlapping Range-Free (FRORF) localization algorithm on IoT end-devices.
  • Conducting multiple localization tests across three distinct environmental scenarios.
  • Measuring localization accuracy and algorithm execution time on the physical devices.

Main Results:

  • The experimental results showed similar overall behavior to simulations but significant quantitative differences in localization accuracy.
  • Execution times varied from under 10 ms to over 300 ms, dependent on the fuzzification level.
  • The study demonstrated that real-world performance deviates from simulation predictions for resource-constrained WSNs.

Conclusions:

  • Evaluating localization algorithms on actual resource-constrained IoT devices is essential due to performance discrepancies with simulations.
  • The modified FRORF algorithm's feasibility on IoT end-devices was confirmed, but its overhead requires careful consideration.
  • Accurate localization in WSNs necessitates practical, hardware-based performance assessments to avoid unaffordable overheads.