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

Computing and Communications

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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

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Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting. / Ebaid, Emad ; Navaie, Keivan.
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, 2022. (CEUR Workshop Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

Harvard

Ebaid, E & Navaie, K 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. <https://ceur-ws.org/Vol-3252/short1.pdf>

APA

Ebaid, E., & Navaie, K. (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. https://ceur-ws.org/Vol-3252/short1.pdf

Vancouver

Ebaid E , Navaie K. 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. 2022. (CEUR Workshop Proceedings). Epub 2022 Sept 23.

Author

Ebaid, Emad ; Navaie, Keivan. / Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting. 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, 2022. (CEUR Workshop Proceedings).

Bibtex

@inproceedings{3af6c00f69ec41a78db535bb1cd73094,

title = "Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting",

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. ",

author = "Emad Ebaid and Keivan Navaie",

year = "2022",

month = oct,

day = "28",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

booktitle = "CPS Summer School PhD Workshop 2022",

}

RIS

TY - GEN

T1 - Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting

AU - Ebaid, Emad

AU - Navaie, Keivan

PY - 2022/10/28

Y1 - 2022/10/28

N2 - 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.

AB - 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.

M3 - Conference contribution/Paper

T3 - CEUR Workshop Proceedings

BT - CPS Summer School PhD Workshop 2022

PB - CEUR Workshop Proceedings

ER -

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