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Published in: Mobile Networks and Applications 1/2023

30-09-2022

EIPSO: An Energy Efficient Indoor Positioning System based on Game Theory

Authors: Amen Debbiche, Ikbal Chammakhi Msadaa, Khaled Grayaa

Published in: Mobile Networks and Applications | Issue 1/2023

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Abstract

Location information is attracting more and more attention due to the increasing awareness of its importance for a wide range of applications. Whether it is for tracking valuable assets in the industrial context or monitoring the motion of elderly people and patients to prevent accidents or offering a better shopping experience using proximity and positioning marketing, an accurate and efficient indoor positioning has become crucial. Aware of this increasing need, we present in this paper “EIPSO” a new indoor 3D positioning algorithm based on Game Theory. An emphasis has been put on the energy efficiency of the proposed solution using “mGAPS” a hybrid micro-genetic and pattern search optimization process to reach the Nash equilibrium. A series of real experiments using Zigbee technology have been conducted on a testbed in LaRINa laboratory at the University of Carthage to evaluate the performances of the proposed solution. The obtained results prove the dynamic behavior of EIPSO which adapts the transmit power to both the signal quality and the battery level of the considered nodes. Moreover, a significant improvement of more than 40% of the network lifetime has been observed when using EIPSO while maintaining the positioning accuracy at a high level (≥ 90%).

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Metadata
Title
EIPSO: An Energy Efficient Indoor Positioning System based on Game Theory
Authors
Amen Debbiche
Ikbal Chammakhi Msadaa
Khaled Grayaa
Publication date
30-09-2022
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 1/2023
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-02041-2

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