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Optimal Distribution Method of Photoelectric Sensing Radio Frequency Identification Multi-Tags Using Ant Colony Algorithm

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成果类型:
期刊论文
作者:
Huang, Zhen;Lu, Qiang;Su, Rijian*;Zhou, Kaibo
通讯作者:
Su, Rijian
作者机构:
[Lu, Qiang; Huang, Zhen] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430000, Peoples R China.
[Su, Rijian] Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou 450000, Peoples R China.
[Zhou, Kaibo] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Key Lab Image Proc & Intelligence Control, MOE, Wuhan 430000, Peoples R China.
通讯机构:
[Su, Rijian] Z
Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou 450000, Peoples R China.
语种:
英文
关键词:
Photoelectric Sensor;RFID Tag;Ant Colony Algorithm;Network Life Cycle;Network Load
期刊:
JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS
ISSN:
1555-130X
年:
2020
卷:
15
期:
5
页码:
645-653
机构署名:
本校为第一机构
院系归属:
电气与电子工程学院
摘要:
In this study, RFID technology and wireless photoelectric sensor (WOSN) technology were combined in the acquisition of traffic information. RFID tag and photoelectric sensor were used as a node to build a traffic information collection network. To improve the life cycle and load performance of the network, and achieve the optimal distribution among nodes, the ant colony optimization (ACO) algorithm was taken as the research object, and the network node distribution routing algorithm of multiple RFID tags-photoelectric sensor nodes was designed. The improved ACO based on energy and distance was...

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