Energy-aware mobile sink visiting nodes selection using a mean-shift clustering strategy for data accumulation in WSNs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01038-w.pdf
Reference49 articles.
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3. Saida, R., Hadj Kacem, Y., BenSaleh, M. S., & Abid, M. (2022). A model based process for reconfigurable wireless sensor network development. Wireless Networks, 28, 1–19.
4. Arya, G., Bagwari, A., & Chauhan, D. S. (2022). Performance analysis of deep learning based routing protocol for an efficient data transmission in 5g wsn communication. IEEE Access, 10, 9340–9356.
5. Praveen Kumar, D., Tarachand, A., & Rao, A. C. S. (2019). Machine learning algorithms for wireless sensor networks: A survey. Information Fusion, 49, 1–25.
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