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2017 | OriginalPaper | Chapter

Adversarial Optimization of Indoor Positioning System Using Differential Evolution

Authors : Feroz Ahmad, Sreedevi Indu

Published in: Pattern Recognition and Machine Intelligence

Publisher: Springer International Publishing

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Abstract

This paper presents an adversarial approach to improve the accuracy of an indoor positioning system. In the present work, we propose a system, composed of two components which act as an adversary to each other while determining the accurate parameters in the equations governing the distance evaluations. Differential Evolution is employed to update the parameters in the continuous domain, in real-time by generating an adversarial relation using the two components. Distance evaluation using Time-of-Arrival (TOA) and Received Signal Strength (RSS) are the two strategies used to evaluate distances independently.

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Metadata
Title
Adversarial Optimization of Indoor Positioning System Using Differential Evolution
Authors
Feroz Ahmad
Sreedevi Indu
Copyright Year
2017
Book
Pattern Recognition and Machine Intelligence

Print ISBN: 978-3-319-69899-1

Electronic ISBN: 978-3-319-69900-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69900-4_35

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