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Iterative Positioning Algorithm for Indoor Node Based on Distance Correction in WSNs.

Jing Chen^1,2, Shixin Wang¹, Mingsan Ouyang¹

¹School of Electrical and Information Engineering, Anhui University of Science and Technology, No.168, Taifeng Road, Huainan 232001, China.

Sensors (Basel, Switzerland)

|November 14, 2019

Summary

This summary is machine-generated.

This study introduces an iterative positioning algorithm for wireless sensor networks (WSNs) to enhance node location accuracy. The novel method corrects distance measurements affected by noise, significantly improving positioning results.

Keywords:

RSSI distance correction distance deviation coefficient iterative positioning algorithm noise impact factor

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Accurate node positioning is crucial for wireless sensor networks (WSNs).
Existing positioning algorithms suffer from low accuracy due to communication noise interference.

Purpose of the Study:

To propose an iterative positioning algorithm based on distance correction for improving target node accuracy in WSNs.
To address the limitations of current algorithms in noisy communication environments.

Main Methods:

Developed a log-distance distribution model for received signal strength indication (RSSI) ranging to derive a noise impact factor.
Utilized a triangle centroid localization algorithm for initial node coordinate estimation and calculated a noise-influenced distance deviation coefficient.
Iteratively refined target node coordinates by updating the distance deviation coefficient using a new distance metric derived from the RSSI model and median distance.

Main Results:

The proposed iterative algorithm demonstrated improved positioning accuracy in experimental evaluations.
The distance correction mechanism effectively mitigated the impact of noise on ranging measurements.
The iterative refinement process converged to more accurate target node coordinates.

Conclusions:

The developed iterative positioning algorithm offers a promising solution for enhancing accuracy in wireless sensor networks.
The distance correction approach based on RSSI and noise modeling is effective in overcoming environmental interference.
This method provides a robust framework for precise localization in WSN applications.