A Novel Chaotic Quantum Annealing Algorithm for Optimizing the Target Coverage of Industrial Machinery Fault Monitoring Network-Reference-Cited by-同舟云学术

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A Novel Chaotic Quantum Annealing Algorithm for Optimizing the Target Coverage of Industrial Machinery Fault Monitoring Network

Published:2023-08-17 Issue: Volume: Page:411-414
ISSN:
Container-title:2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN)
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Author:

Jia Dingyi¹,Fei Hongmei¹,Wang Mengfei¹,Yan Manli²,Lu Yi¹,Zhang Yao³,Zhou Jie¹

Affiliation:

1. Shihezi University,College of Information Science and Technology,Shihezi,China

2. Tongji University,College of Economics and Management,Shanghai,China,200092

3. University of the Cordilleras,Baguio City,Philippines,2600

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391853/10392302/10392622.pdf?arnumber=10392622

Reference11 articles.

1. QEGWO: Energy-Efficient Clustering Approach for Industrial Wireless Sensor Networks Using Quantum-Related Bioinspired Optimization

2. Coverage Degree-Coverage Model in Wireless Visual Sensor Networks

3. MCEAACO-QSRP: A Novel QoS-Secure Routing Protocol for Industrial Internet of Things

4. Coverage protocols for wireless sensor networks: Review and future directions

5. The Mobile Sensor Deployment Problem and the Target Coverage Problem in Mobile Wireless Sensor Networks are NP-Hard

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