Deep Learning Model of GRU Based Energy Effective Clustering and GAN Based Intrusion Detection in WSN
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61471-2_25
Reference21 articles.
1. Arya, G., Bagwari, A., Chauhan, D.S.: Performance analysis of deep learning-based routing protocol for an efficient data transmission in 5G WSN communication. IEEE Access 10, 9340–9356 (2022)
2. Majid, M.A.: Energy-efficient adaptive clustering and routing protocol for expanding the life cycle of the IoT-based wireless sensor network. In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), pp. 328–336. IEEE (2022)
3. Mohan, P., Subramani, N., Alotaibi, Y., Alghamdi, S., Khalaf, O.I., Ulaganathan, S.: Improved metaheuristics-based clustering with multihop routing protocol for underwater wireless sensor networks. Sensors 22(4), 1618 (2022)
4. Lakshmanna, K., Subramani, N., Alotaibi, Y., Alghamdi, S., Khalafand, O.I., Nanda, A.K.: Improved metaheuristic-driven energy-aware cluster-based routing scheme for IoT-assisted wireless sensor networks. Sustainability 14(13), 7712 (2022)
5. Chen, C., Wang, L.C., Yu, C.M.: D2CRP: A novel distributed 2-hop cluster routing protocol for wireless sensor networks. IEEE Internet Things J. 9(20), 19575–19588 (2022)
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