Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting

Ebaid, Emad and Navaie, Keivan (2022) Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting. In: CPS Summer School PhD Workshop 2022 : Proceedings of the CPS Summer School PhD Workshop 2022 co-located with 4th Edition of the CPS Summer School (CPS 2022). CEUR Workshop Proceedings . CEUR Workshop Proceedings.

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Abstract

Cyber-Physical Systems (CPS) are evolving and gradually building an ecosystem of smart homes, smart cities and automated systems. Indoor Positioning Systems (IPSs) play an essential part in providing location-based services to many demanded applications such as robots, UAVs, shopping malls, health care and more. Indoor positioning based on Wi-Fi is widely used to limit the complexity and cost of the Indoor Positioning System (IPS). This study aims to find an efficient design that makes IPS based on Wi-Fi fingerprinting more simple and scalable to enhance indoor positioning performance. Investigating the IPS system design in indoor settings tries to improve the positioning accuracy of Wi-Fi RSSI-based systems and reduce database-fingerprinting complexity by using cloud-computing architecture for efficient resource management and system scalability.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
192102
Deposited By:
Deposited On:
24 May 2023 09:20
Refereed?:
No
Published?:
Published
Last Modified:
16 Jul 2024 05:18