Design and Implementation of Laboratory Appointment Management System Based on RFID

Zhu, Yan; Qin, Lei; He, Baoguo; Xin, Dan

doi:10.1109/iciscet56785.2022.00074

Cited by 1 publication

(1 citation statement)

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“…It is indispensable in modern agriculture to track vital indicators like humidity, temperature, humidity, and light intensity to realize smart irrigation with RFID technology [16]. In the large-scale farming industry, RFID technology can monitor the growth details and health status of livestock to improve breeding efficiency [17]. The field of food also benefits greatly from RFID technology, which may be used to monitor food quality and freshness.…”

Section: Rfid System Applicationmentioning

confidence: 99%

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

Yejiao,

Kamaludin,

Mohammed Alduais

et al. 2024

IEEE Access

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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.

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Section: Rfid System Applicationmentioning

confidence: 99%