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

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).
• 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.