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RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

With the development of intelligent manufacturing in China, Radio Frequency Identification (RFID), a key technology for smart factories, has received widespread attention. As RFID applications expand, so does the size of their networks. It makes it more difficult to ensure RFID signal coverage, lea...

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Main Authors: YEJIAO, WANG, KAMALUDIN, HAZALILA, MOHAMMED ALDUAIS, NAYEF ABDULWAHAB, MOHD SAFAR, NOOR ZURAIDIN, ZHONGCHAO, HAO
Format: Article
Language:English
Published: Ieee Acces 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.uthm.edu.my/12294/1/J17728_689559ccc061dbc5987d4740a173b2cc.pdf
http://eprints.uthm.edu.my/12294/
https://doi.org/ 10.1109/ACCESS.2024.3397402
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spelling my.uthm.eprints.122942024-12-16T23:49:52Z http://eprints.uthm.edu.my/12294/ RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review YEJIAO, WANG KAMALUDIN, HAZALILA MOHAMMED ALDUAIS, NAYEF ABDULWAHAB MOHD SAFAR, NOOR ZURAIDIN ZHONGCHAO, HAO TK Electrical engineering. Electronics Nuclear engineering With the development of intelligent manufacturing in China, Radio Frequency Identification (RFID), a key technology for smart factories, has received widespread attention. As RFID applications expand, so does the size of their networks. It makes it more difficult to ensure RFID signal coverage, leads to communication problems, and increases equipment energy consumption and costs, thereby posing challenges in the realm of RFID network planning (RNP). The RNP problem needs to consider multiple objectives and constraints such as coverage, conflicts, economic benefit, and load balance which have been proven to be optimized by swarm intelligent optimization algorithms. Therefore, this study reviews smart factories, RFID technology, swarm intelligence optimization algorithms and RFID network planning. The improvement direction of swarm intelligence optimization algorithms and factors affecting RFID network performance are also explored. In addition, it reviews and analyzes the applications of swarm intelligence algorithms to RNP problems and discusses the innovations and drawbacks of these approaches. Finally, some research limitations and directions are identified. Ieee Acces 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12294/1/J17728_689559ccc061dbc5987d4740a173b2cc.pdf YEJIAO, WANG and KAMALUDIN, HAZALILA and MOHAMMED ALDUAIS, NAYEF ABDULWAHAB and MOHD SAFAR, NOOR ZURAIDIN and ZHONGCHAO, HAO (2024) RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review. Digital Object Identifier. pp. 64980-64996. https://doi.org/ 10.1109/ACCESS.2024.3397402
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
YEJIAO, WANG
KAMALUDIN, HAZALILA
MOHAMMED ALDUAIS, NAYEF ABDULWAHAB
MOHD SAFAR, NOOR ZURAIDIN
ZHONGCHAO, HAO
RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
description With the development of intelligent manufacturing in China, Radio Frequency Identification (RFID), a key technology for smart factories, has received widespread attention. As RFID applications expand, so does the size of their networks. It makes it more difficult to ensure RFID signal coverage, leads to communication problems, and increases equipment energy consumption and costs, thereby posing challenges in the realm of RFID network planning (RNP). The RNP problem needs to consider multiple objectives and constraints such as coverage, conflicts, economic benefit, and load balance which have been proven to be optimized by swarm intelligent optimization algorithms. Therefore, this study reviews smart factories, RFID technology, swarm intelligence optimization algorithms and RFID network planning. The improvement direction of swarm intelligence optimization algorithms and factors affecting RFID network performance are also explored. In addition, it reviews and analyzes the applications of swarm intelligence algorithms to RNP problems and discusses the innovations and drawbacks of these approaches. Finally, some research limitations and directions are identified.
format Article
author YEJIAO, WANG
KAMALUDIN, HAZALILA
MOHAMMED ALDUAIS, NAYEF ABDULWAHAB
MOHD SAFAR, NOOR ZURAIDIN
ZHONGCHAO, HAO
author_facet YEJIAO, WANG
KAMALUDIN, HAZALILA
MOHAMMED ALDUAIS, NAYEF ABDULWAHAB
MOHD SAFAR, NOOR ZURAIDIN
ZHONGCHAO, HAO
author_sort YEJIAO, WANG
title RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
title_short RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
title_full RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
title_fullStr RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
title_full_unstemmed RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
title_sort rfid network planning of smart factory based on swarm intelligent optimization algorithm: a review
publisher Ieee Acces
publishDate 2024
url http://eprints.uthm.edu.my/12294/1/J17728_689559ccc061dbc5987d4740a173b2cc.pdf
http://eprints.uthm.edu.my/12294/
https://doi.org/ 10.1109/ACCESS.2024.3397402
_version_ 1818836390379520000
score 13.232414

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