Mallpath-Indoor Navigation System

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Haripriya S
Devadharshini T
Aarthi J
Atchaya R
Jayapriya N

Indoor navigation within large shopping malls is often challenging due to complex layouts and lack of proper guidance systems. Visitors frequently struggle to locate stores, restrooms, exits, or other facilities efficiently. Traditional navigation methods such as static maps and signboards are often insufficient and confusing.


This paper proposes MallPath, an intelligent indoor navigation system designed to assist users in navigating malls  and accurately. The system utilizes digital mall maps, real-time location tracking, and pathfinding algorithms to guide users to their desired destinations.


The proposed system provides floor-wise navigation, shop categorization, and shortest path suggestions. It enhances user experience by reducing time, improving accessibility, and offering an interactive interface. The solution is scalable and can be implemented in modern smart malls.

Mallpath-Indoor Navigation System. (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 15(5), 390-397. https://doi.org/10.51583/IJLTEMAS.2026.150500035

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References

Z. Ayaz, “Digital Advertising Using BLE Beacons,” IEEE, 2025.

L. Bouska et al., “Indoor Localization Using BLE and RSSI,” IEEE, 2024.

M. C. Sakman et al., “Indoor Navigation for Personalized Shopping,” ScienceDirect, 2023.

A. Saeidi et al., “AR-Based Indoor Navigation in Shopping Malls,” IEEE, 2022.

N. Narayana et al., “Smart Indoor Navigation Using BLE,” IEEE, 2021.

P. Pešlácio et al., “BLE Indoor Positioning Using Neural Networks,” IEEE, 2021.

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How to Cite

Mallpath-Indoor Navigation System. (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 15(5), 390-397. https://doi.org/10.51583/IJLTEMAS.2026.150500035