Ensemble learning particle swarm optimization for real-time UWB indoor localization

Abstract This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original...

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Main Authors: Xufen Cai, Long Ye, Qin Zhang
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13638-018-1135-0
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author Xufen Cai
Long Ye
Qin Zhang
author_facet Xufen Cai
Long Ye
Qin Zhang
author_sort Xufen Cai
collection DOAJ
description Abstract This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original PSO into ELPSO under superbest guide, which is a parameter employed to identify the top gbest by learning from three individual algorithms and updated asynchronously. The performance of the proposed ELPSO is evaluated by using the CEC2005 benchmark and compared with each individual algorithm and other state-of-the-art optimization algorithms. The feasibility of the proposed ELPSO is demonstrated in both 2D and 3D UWB indoor localization system generating promising results.
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spelling doaj.art-aaea9f2d7e074d998bf6164ebd2986362022-12-21T19:26:05ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-05-012018111510.1186/s13638-018-1135-0Ensemble learning particle swarm optimization for real-time UWB indoor localizationXufen Cai0Long Ye1Qin Zhang2Department of Information Engineering, Communication University of ChinaDepartment of Information Engineering, Communication University of ChinaDepartment of Information Engineering, Communication University of ChinaAbstract This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original PSO into ELPSO under superbest guide, which is a parameter employed to identify the top gbest by learning from three individual algorithms and updated asynchronously. The performance of the proposed ELPSO is evaluated by using the CEC2005 benchmark and compared with each individual algorithm and other state-of-the-art optimization algorithms. The feasibility of the proposed ELPSO is demonstrated in both 2D and 3D UWB indoor localization system generating promising results.http://link.springer.com/article/10.1186/s13638-018-1135-0Particle swarm optimization (PSO)Ensemble learning (EL)Ultra-wideband (UWB)Indoor localization
spellingShingle Xufen Cai
Long Ye
Qin Zhang
Ensemble learning particle swarm optimization for real-time UWB indoor localization
EURASIP Journal on Wireless Communications and Networking
Particle swarm optimization (PSO)
Ensemble learning (EL)
Ultra-wideband (UWB)
Indoor localization
title Ensemble learning particle swarm optimization for real-time UWB indoor localization
title_full Ensemble learning particle swarm optimization for real-time UWB indoor localization
title_fullStr Ensemble learning particle swarm optimization for real-time UWB indoor localization
title_full_unstemmed Ensemble learning particle swarm optimization for real-time UWB indoor localization
title_short Ensemble learning particle swarm optimization for real-time UWB indoor localization
title_sort ensemble learning particle swarm optimization for real time uwb indoor localization
topic Particle swarm optimization (PSO)
Ensemble learning (EL)
Ultra-wideband (UWB)
Indoor localization
url http://link.springer.com/article/10.1186/s13638-018-1135-0
work_keys_str_mv AT xufencai ensemblelearningparticleswarmoptimizationforrealtimeuwbindoorlocalization
AT longye ensemblelearningparticleswarmoptimizationforrealtimeuwbindoorlocalization
AT qinzhang ensemblelearningparticleswarmoptimizationforrealtimeuwbindoorlocalization