Page 351 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470

IV. PROPOSED RESEARCH MODEL
The proposed research model for BeaconTrack integrates various components and techniques to optimize the performance of
beacon-based navigation systems. The model involves several layers, including data collection, processing, user interaction, and
system optimization.
1. Data Collection Layer:
Ø Beacon Signals: Collect data from multiple Bluetooth Low Energy (BLE) beacons.
Ø Sensor Data: Collect data from user devices (e.g., accelerometers, gyroscopes) for sensor fusion.
Ø Crowdsourced Data: Use real-time user data to calibrate and optimize the system.
2. Data Processing Layer:
Ø Machine Learning Algorithms: Implement ML models (DNN, SVM) to improve positioning accuracy by handling signal
interference and environmental changes.
Ø Sensor Fusion: Integrate data from beacons and sensors (e.g., using Kalman filters) to enhance navigation accuracy,
especially in challenging environments.
3. Personalization and AR Layer:
Ø Proximity-based Services: Deliver personalized services (e.g., targeted notifications, discounts) based on location.
Ø Augmented Reality (AR): Provide visual guidance with AR to enhance navigation through real-time overlays.

Fig: Navigation System with Beacon Technology
4. Optimization Layer:
Ø Cloud-Based Processing: Use cloud services for data processing and to scale BeaconTrack for large environments.
Ø Self-Optimization and Calibration: Implement crowdsourced calibration and dynamic optimization to improve system
accuracy and performance.
5. Smart City Integration:
Ø Real-Time City Data: Integrate real-time data from smart city infrastructure, such as traffic management, public transport,
and environmental data, for optimized routing.
6. Security and Privacy Layer:
Ø Data Security: Ensure secure data transmission and encryption to protect user privacy and location data.
Ø Privacy Preservation: Implement privacy measures like anonymous identification and location data protection.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 341