Multi-floor Indoor Navigation with Geomagnetic Field Positioning and Ant Colony Optimization Algorithm

We here illustrate a new indoor navigation system. It is an outcome of creativity, which merges an imaginative scenario and new technologies. The system intends to guide a person in unknown building by relying on technologies which do not depend on infrastructures. The system includes two key compon...

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Bibliographic Details
Published in2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) pp. 314 - 323
Main Authors Kaixu Liu, Motta, Gianmario, Tianyi Ma, Tao Guo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Airports
Ant Colony Optimization (ACO) algorithm
Buildings
Creativity
Geomagnetic Field
IEEE 802.11 Standard
Indoor navigation
Magnetometers
Multi-floor Path Planning
Path planning
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Summary:We here illustrate a new indoor navigation system. It is an outcome of creativity, which merges an imaginative scenario and new technologies. The system intends to guide a person in unknown building by relying on technologies which do not depend on infrastructures. The system includes two key components, namely positioning and path planning. Positioning is based on geomagnetic fields, and it overcomes the several limits of WIFI and Bluetooth, etc. Path planning is based on a new and optimized Ant Colony algorithm, called Ant Colony Optimization (ACO), which offers better performances than the classic A* algorithms. The paper illustrates the logic and the architecture of the system, and also presents experimental results.
DOI:10.1109/SOSE.2016.18