EFTVG: An Energy Efficient Fuzzy–Timer Clustering Approach in an Adaptive Virtual Grid Cluster Based WSN
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11453-0.pdf
Reference31 articles.
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3. Ijemaru, G. K., Kenneth, L.-M.A., & Jasmine, K. P. S. (2022). Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges. International journal of distributed sensor networks, 18(3), 15501477211067740.
4. Senouci, M. R., & Abdelhamid, M. (2019). A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan. Journal of Network and Computer Applications, 146, 102414.
5. Pacharaney, U. S., & Rajiv Kumar, G. (2019). Clustering and compressive data gathering in wireless sensor network. Wireless Personal Communications, 109(2), 1311–1331.
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