Optimal Configuration for Monitoring Stations in a Wireless Localisation Network Based on Received Signal Strength...

Area of Science:

• Cybersecurity and Signal Processing
• Wireless Sensor Networks
• Smart City Technologies

Background:

• Smart cities rely on interconnected sensors, necessitating robust cybersecurity, especially for critical infrastructure like airports.
• Radio frequency (RF) interference poses significant risks to navigation systems in autonomous vehicles and aircraft.
• Accurate localization of RF interferers is crucial for maintaining signal security and preventing potential catastrophes.

Purpose of the Study:

• To optimize the geometric configuration of monitoring stations for localizing radio frequency interferers in smart cities.
• To evaluate optimization strategies based on desired dilution of precision (DOP) and variance-covariance matrix (VCM) using received signal strength difference (RSSD).
• To apply and validate mathematical models for RF interferer localization at Arlanda International Airport.

Main Methods:

• Development of mathematical models for transmitter localization using RSSD measurements.
• Optimization of monitoring station geometry based on DOP and VCM criteria.
• Numerical testing and validation of the models and optimization strategies using real-world airport data.

Main Results:

• Achieved optimal monitoring station configurations using both DOP and VCM criteria under identical constraints and resolutions below 20 meters.
• Demonstrated that the choice of pathloss exponent has minimal impact on localization accuracy at resolutions below 20 meters.
• Identified that VCM-based optimization offers greater redundancy and flexibility in setting coordinate variances and covariances.

Conclusions:

• VCM-based optimization is recommended for designing wireless security networks due to its flexibility and redundancy.
• The study provides a validated methodology for enhancing RF interference localization in smart city environments, particularly for aviation security.
• Optimized sensor network geometry is essential for effective cybersecurity and signal integrity in critical smart city infrastructure.