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

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.

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Official URL: https://doi.org/ 10.1109/ACCESS.2024.3397402

Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	-
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Computer Science and Information Technology > FSKTM
Depositing User:	Mr. Mohamad Zulkhibri Rahmad
Date Deposited:	16 Dec 2024 23:48
Last Modified:	16 Dec 2024 23:49
URI:	http://eprints.uthm.edu.my/id/eprint/12294

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