Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques

Published:2024-06-11 Issue: Volume:642 Page:1-6
ISSN:
Container-title:2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)
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Author:

Priyadarshi Rahul¹,Vikram Raj²,Huang ZeKun³,Yang Tiansheng⁴,Rathore Rajkumar Singh⁵

Affiliation:

1. ITER, Siksha ‘O’ Anusandhan (Deemed to be University),Faculty of Engineering and Technology,Bhubaneswar,India,751030

2. C. V. Raman Global University,Department of Computer Science and Engineering,Bhubaneswar,India,752054

3. Shanxi University,Taiyuan City,Shanxi Province,China

4. University of South Wales,Pontypridd,United Kingdom,CF37 1DL

5. Cardiff School of Technologies, Cardiff Metropolitan University,Llandaff Campus,Cardiff,United Kingdom,CF5 2QS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602772/10602732/10603264.pdf?arnumber=10603264

Reference24 articles.

1. Machine learning for coverage optimization in wireless sensor networks: a comprehensive review

2. Energy-Efficient Routing in Wireless Sensor Networks: A Meta-heuristic and Artificial Intelligence-based Approach: A Comprehensive Review

3. Deep Learning Challenges and Prospects in Wireless Sensor Network Deployment

4. 2-D coverage optimization in obstacle-based FOI in WSN using modified PSO

5. Machine Learning Optimization Techniques: A Survey, Classification, Challenges, and Future Research Issues

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