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Collaborative localization in wireless sensor networks via pattern recognition in radio irregularity using

Joe-Air Jiang¹, Cheng-Long Chuang, Tzu-Shiang Lin

¹Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 106, Taiwan. jajiang@ntu.edu.tw

Sensors (Basel, Switzerland)

|February 9, 2012

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This study introduces a low-cost, cooperative localization method for wireless sensor networks (WSNs) using received signal strength (RSS). The approach improves accuracy by considering realistic radio propagation and using multiple reference nodes.

Area of Science:

Electrical Engineering
Computer Science
Wireless Communication

Background:

Received Signal Strength (RSS)-based localization is a cost-effective solution for wireless sensor networks (WSNs).
Previous methods often oversimplify radio propagation by assuming spherical radiation patterns, limiting practical accuracy.
Accurate localization is crucial for many location-aware applications in WSNs.

Purpose of the Study:

To develop a novel RSS-based cooperative localization method for WSNs.
To address the limitations of simplified radio propagation models in existing localization techniques.
To enhance the accuracy and robustness of sensor node localization in diverse environments.

Main Methods:

Developed a cooperative localization method utilizing received signal strength (RSS) for wireless sensor networks (WSNs).

Keywords:

localization mobile applications radiation pattern received-signal strength robust correlation wireless sensor networks

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Employed a distance-power gradient model with two external omnidirectional dipole antennas to characterize radio propagation.

Implemented a modified robust regression for determining relative azimuth and distance between nodes.

Integrated a cooperative scheme using multiple fixed reference nodes to enhance localization precision.

Main Results:

The proposed method accurately estimates unknown sensor node coordinates in WSNs.
Computer simulations and field tests validated the effectiveness of the RSS-based cooperative localization approach.
The method demonstrated utility in localizing sensor nodes within unknown or dynamic environments.

Conclusions:

The presented RSS-based cooperative localization method offers a practical and low-cost solution for WSNs.
This approach overcomes the inaccuracies associated with simplified radio propagation models.
The findings support the use of this method for reliable sensor node localization in real-world applications.