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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
Fig: Proposed model of the Beacon Technology 1. Beacon Devices
Description: Beacons are small, battery-powered devices placed strategically across the indoor environment.
Function: These devices continuously emit Bluetooth Low Energy (BLE) signals with unique identifiers.
1. Placement: Ø The position is determined by analyzing the intersection
Located at key points (e.g., entrances, corridors, elevators, of coverage areas (triangulation).
and key rooms) to ensure complete signal coverage.
Ø For instance, a weak signal indicates that the user is
Each beacon has a known fixed position, which forms the farther away, while a strong signal indicates proximity.
basis for location triangulation.
V. PERFORMANCE EVALUATION
2. BLE Signal Emission The performance of BeaconTrack was evaluated based on
Beacons emit signals in the form of waves (illustrated as accuracy, efficiency, and scalability in real-world scenarios.
curved patterns in the diagram). Key findings include:
Signals include information such as: 1. Accuracy:
Beacon ID (used to identify the specific beacon). Ø Achieved location precision within 1-3 meters in typical
indoor environments, outperforming GPS in such
Signal strength (RSSI - Received Signal Strength Indicator).
settings.
Metadata for location-based triggers (optional).
2. Signal Stability:
3. User Device (Smartphone) Ø BLE signals maintained consistent performance, but
Description: The smartphone is equipped with Bluetooth to interference from walls or other electronic devices
scan and detect nearby beacons. slightly reduced accuracy.
Functionality: 3. Response Time:
Captures the Beacon IDs and RSSI values from nearby Ø Real-time location updates were delivered within 1-2
beacons. seconds, ensuring smooth navigation for users.
Based on RSSI (signal strength), the device calculates 4. Battery Efficiency:
proximity to each beacon. Ø Beacon devices consumed minimal power, lasting up to
two years on a single battery.
Combines data from multiple beacons to determine the exact
position using triangulation or multilateration. 5. Scalability:
Ø The system scaled effectively to larger areas by
Output: increasing beacon density without significant
Displays the user’s real-time position on an indoor map.
degradation in performance.
Guides the user via optimized navigation paths (e.g., shortest Overall, BeaconTrack demonstrated high reliability and
route to the destination).
usability for indoor navigation, proving to be a robust
4. Triangulation Process solution for environments like malls, airports, and hospitals.
How it works:
Ø If three or more beacons are detected, the smartphone
calculates its position relative to the beacons.
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