近3年发表的代表性论文(第一作者或通讯作者): 1.Song Shanshan, Liu Jun, Guo Jiani, et al. Neural-network based AUV Navigation for Fast-changing Environments. IEEE Internet of Things Journal.7(10): 9773-9783 (2020).(中科院1区TOP) 2. Song Shanshan,Liu Jun, Guo Jiani, et al. Efficient Velocity Estimation and Location Prediction in Underwater Acoustic Sensor Networks. IEEE Internet of Things Journal. 9(4): 2984-2998 (2022).(中科院1区TOP) 3. Shanshan Song, Jun Liu, Jiani Guo, et al. Efficient Data Collection Scheme for Multi-Modal Underwater Sensor Networks Based on Deep Reinforcement Learning. IEEE Trans. Veh. Technol.72(5): 6558-6570 (2023). 4. Jiani Guo,Shanshan Song*, et al.A Hybrid NOMA-Based MAC Protocol for Underwater Acoustic Networks. IEEE/ACM Transactions on Networking. Doi: 10.1109/TNET.2023.3311682(2023).(CCF A刊) 5. Jiani Guo,Shanshan Song*, et al. An Efficient Geo-Routing-Aware MAC Protocol Based on OFDM for Underwater Acoustic Networks.IEEE Internet of Things Journal. 10(11): 9809-9822 (2023).(中科院1区TOP) 6. Jiani Guo,Shanshan Song, Jun Liu, et al. An Efficient Medium Access Control Scheme based on MC-CDMA for Mobile Underwater Acoustic Networks. IEEE Network Magazine. 36(3):167-173 (2022).共同一作。(中科院1区TOP) 7. Yiran Wang,Shanshan Song*, et al. An Efficient Localization Scheme With Velocity Prediction for Large-Scale Underwater Acoustic Sensor Networks. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2023.3311791 (2023).(中科院1区TOP) 8. Cangzhu Xu,Shanshan Song*, et al. An Efficient Deployment Scheme with Network Performance Modeling for Underwater Wireless Sensor Networks. IEEE Internet of Things Journal.(2023).(中科院1区TOP) 9. Huaxiao, Liu, Xinglong Yin,Song Shanshan*, et al. Mining detailed information from the description for App functions comparison. IET Software.16(1): 94-110 (2022).(CCF B刊) 10. Liu Jun, Wang Jun,Song Shanshan*, et al. MMNET: A Multi-Modal Network Architecture for Underwater Networking. Electronics. 2020, 9(12): 2186. 11. Guo Jiani, LiuJun,Song Shanshan*, et al.Aqua-Psim: A Semi-Physical Simulation Platform Based on NS3 for Underwater Acoustic Network. WUWNet`21. |