Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT

To achieve effective connection between each node of the Internet of Things (IoT), there is a great demand of precise positioning. The traditional firefly localization algorithm only considers part of the ranging information, and the positioning effect is not good. Therefore, an improved algorithm i...

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Main Authors: Cheng peng Liu, Bin Xia, Liye Zhang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/3398071
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author Cheng peng Liu
Bin Xia
Liye Zhang
author_facet Cheng peng Liu
Bin Xia
Liye Zhang
author_sort Cheng peng Liu
collection DOAJ
description To achieve effective connection between each node of the Internet of Things (IoT), there is a great demand of precise positioning. The traditional firefly localization algorithm only considers part of the ranging information, and the positioning effect is not good. Therefore, an improved algorithm is proposed to take advantage of the ranging information between unknown nodes to achieve cooperative location. First, all ranging information is considered to construct a new objective function. The firefly optimization approach is then utilized to discover the best solution based on the new goal function. The starting location created by the random technique has a significant impact on the new algorithm’s localization performance, thus the traditional firefly localization method’s initial position is employed to increase cooperative localization performance. The simulation results demonstrate that the novel approach outperforms the classic firefly technique in terms of placement accuracy.
format Article
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institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-33011b898d8f4b75b84539cde03697182025-02-03T05:53:29ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/3398071Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoTCheng peng Liu0Bin Xia1Liye Zhang2National Key Lab of Science and Technology on CommunicationsSchool of Computer Science and TechnologySchool of Computer Science and TechnologyTo achieve effective connection between each node of the Internet of Things (IoT), there is a great demand of precise positioning. The traditional firefly localization algorithm only considers part of the ranging information, and the positioning effect is not good. Therefore, an improved algorithm is proposed to take advantage of the ranging information between unknown nodes to achieve cooperative location. First, all ranging information is considered to construct a new objective function. The firefly optimization approach is then utilized to discover the best solution based on the new goal function. The starting location created by the random technique has a significant impact on the new algorithm’s localization performance, thus the traditional firefly localization method’s initial position is employed to increase cooperative localization performance. The simulation results demonstrate that the novel approach outperforms the classic firefly technique in terms of placement accuracy.http://dx.doi.org/10.1155/2022/3398071
spellingShingle Cheng peng Liu
Bin Xia
Liye Zhang
Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
Discrete Dynamics in Nature and Society
title Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
title_full Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
title_fullStr Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
title_full_unstemmed Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
title_short Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT
title_sort firefly optimization based cooperative localization algorithm for intelligent iot
url http://dx.doi.org/10.1155/2022/3398071
work_keys_str_mv AT chengpengliu fireflyoptimizationbasedcooperativelocalizationalgorithmforintelligentiot
AT binxia fireflyoptimizationbasedcooperativelocalizationalgorithmforintelligentiot
AT liyezhang fireflyoptimizationbasedcooperativelocalizationalgorithmforintelligentiot