Future Directions on Enhanced Positioning Services with Predictions for Smart Factories

Efficient indoor positioning of the industrial devices is a key pillar of the digitalized factories. In 5G/6G era, the integration of positioning, the network communication and the environmental information is important to enhance the accuracy and performance for various use cases. In this direction, there is a need of a unified framework that is able to aggregate knowledge about device positioning from multiple systems and provide value added services for the vertical industries to realize their use cases. In this paper, we propose a positioning service function that combines the relevant information gained from different sources for providing enhanced positioning services with predictions. In addition, this paper presents a methodology based on Asset Administration Shell (AAS) to implement the proposed functionalities. The proposed approach outlines future direction on enhancing positioning services in smart factories to improve network and service management. We further illustrate our suggested way forward through a smart manufacturing use case.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.23919/cnsm62983.2024.10814496
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Future Directions on Enhanced Positioning Services with Predictions for Smart Factories

Elham Dehghan Biyar, Yunus Emre Dönmez, Ahmet Cihat Baktır, Deniz Çokuslu
Context-Aware Activity Recognition Systems
article

Future Directions on Enhanced Positioning Services with Predictions for Smart Factories

Elham Dehghan Biyar, Yunus Emre Dönmez, Ahmet Cihat Baktır, Deniz Çokuslu
article en

Abstract

Efficient indoor positioning of the industrial devices is a key pillar of the digitalized factories. In 5G/6G era, the integration of positioning, the network communication and the environmental information is important to enhance the accuracy and performance for various use cases. In this direction, there is a need of a unified framework that is able to aggregate knowledge about device positioning from multiple systems and provide value added services for the vertical industries to realize their use cases. In this paper, we propose a positioning service function that combines the relevant information gained from different sources for providing enhanced positioning services with predictions. In addition, this paper presents a methodology based on Asset Administration Shell (AAS) to implement the proposed functionalities. The proposed approach outlines future direction on enhancing positioning services in smart factories to improve network and service management. We further illustrate our suggested way forward through a smart manufacturing use case.

HORIZON EUROPE Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Context-Aware Activity Recognition Systems
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Future Directions on Enhanced Positioning Services with Predictions for Smart Factories — Elham Dehghan Biyar, Yunus Emre Dönmez, et al. · (2024) | TGRS Research Map | TGRS