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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Format: | Article |
Language: | English |
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SpringerOpen
2018-05-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
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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. |
first_indexed | 2024-12-20T21:28:35Z |
format | Article |
id | doaj.art-aaea9f2d7e074d998bf6164ebd298636 |
institution | Directory Open Access Journal |
issn | 1687-1499 |
language | English |
last_indexed | 2024-12-20T21:28:35Z |
publishDate | 2018-05-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Wireless Communications and Networking |
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 |