期刊论文
[1] Zhu, R., Boukerche, A., Long, L., Yang, Q. (2024). Design Guidelines on Trust Management for Underwater Wireless Sensor Networks. IEEE Communications Surveys and Tutorials, doi: 10.1109/COMST.2024.3389728.
[2] Zhu, R., et al. (2024). A reliable cluster-based opportunistic routing protocol for underwater wireless sensor networks. Computer Networks, 251, 110622.
[3] Zhu, R., et al. (2024). An Efficient Secure and Adaptive Routing Protocol Based on GMM-HMM-LSTM for Internet of Underwater Things. IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16491-16504.
[4] Zhu, R., Boukerche, A., Li, D., Yang, Q. (2024). Delay-aware and reliable medium access control protocols for UWSNs: Features, protocols, and classification. Computer Networks, 110631.
[5] Zhu, R., et al. (2023). DESLR: Energy-efficient and secure layered routing based on channel-aware trust model for UASNs. Computer Networks, 109939.
[6] Zhu, R., Boukerche, A., Feng, L., Yang, Q. (2023). A trust management-based secure routing protocol with AUV-aided path repairing for Underwater Acoustic Sensor Networks. Ad Hoc Networks, 103212.
[7] Zhu, R., et al. (2024). DC-MAC: A Delay-aware and Collision-free MAC Protocol Based on Game Theory for Underwater Wireless Sensor Networks. IEEE Sensors Journal, 24(5), 6930-6941.
[8] Zhu, R., Jiang, Q., Huang, X., Li, D., Yang, Q. (2022). A reinforcement-learning-based opportunistic routing protocol for energy-efficient and Void-Avoided UASNs. IEEE Sensors Journal, 22(13), 13589-13601.
[9] Zhu, R., Huang, X., Huang, X., Li, D., Yang, Q. (2022). An On-Site-Based Opportunistic Routing Protocol for Scalable and Energy-Efficient Underwater Acoustic Sensor Networks. Applied Sciences, 12(23), 12482. (IF = 2.7)
会议论文
[1] Zhu, R., Boukerche, A., Li, P., Yang, Q. (2024, June). A Traffic-Aware Trust Model Based on Edge Computing for Underwater Wireless Sensor Networks. In \textit{ICC 2024}-IEEE International Conference on Communications (pp. 2390-2395). IEEE. (Best Paper)
[2] Zhu, R., Boukerche, A., Huang, X., Yang, Q. (2023). GHL-SAR: Secure and Adaptive Routing Based on GMM-HMM-LSTM for UASNs. IEEE Globecom 2023, Kuala Lumpur, Malaysia, pp. 4540-4545.
[3] Jiang, Q., Zhu, R., Boukerche, A., Yang, Q. (2024, April). An AUV-Assisted Data Collection Approach for UASNs Based on Hybrid Clustering and Matrix Completion. In 2024 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1-6). IEEE.