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Platform Architecture for Decentralized Positioning Systems.

Zakaria Kasmi1, Abdelmoumen Norrdine2, Jörg Blankenbach3

  • 1Institute for Computing in Civil Engineering & Geo Information Systems, Rheinisch-Westfälische Technische Hochschule Aachen University, Mies-van-der-Rohe-Str. 1, Aachen 52074, Germany. zakaria.kasmi@rwth-aachen.de.

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Summary
This summary is machine-generated.

This study introduces a flexible platform architecture for decentralized positioning systems. It enables low-cost devices to compute location data, enhancing system reusability and interoperability.

Keywords:
DS3234LPC2387RIOT-OSRTCSTM32F407TDMAembedded systemmagnetic field positioning systemmicrocontrollerultra-wideband positioning system

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Ubiquitous Computing

Background:

  • Flexible localization systems require adaptable platform architectures.
  • Decentralized processing shifts computation to mobile devices, reducing reliance on central servers.
  • Resource-constrained devices face challenges in performing complex positioning calculations.

Purpose of the Study:

  • To propose a novel platform architecture for flexible and interoperable positioning systems.
  • To enable decentralized position computation on low-cost, resource-constrained devices.
  • To design a system with reusable components and extensibility for various positioning technologies.

Main Methods:

  • Developed a platform architecture supporting component reusability and extensibility.
  • Implemented decentralized position computation on microcontrollers.
  • Evaluated the architecture using field strength and time of arrival positioning systems.

Main Results:

  • The proposed architecture facilitates flexible localization systems.
  • Decentralized processing on low-cost devices is feasible for position computation.
  • The system demonstrated reusability, extensibility, and interoperability.

Conclusions:

  • The platform architecture effectively supports flexible, decentralized positioning.
  • It addresses the challenges of computation on resource-constrained devices.
  • The architecture is a viable solution for modern localization needs.