From NUEESS

Projects

• QELAR - An Underwater Routing Protocol
• MURAO - A Multi-level Routing Protocol for Underwater Optical-Acoustic Hybrid Networks
• QDTR - An Underwater Prediction-based DTN Routing Protocol
• DSH-MAC - An Underwater Receiver-initiated Medium Access Control Protocol
• DAP-MAC - A Delay-Aware Probability-based Underwater MAC Protocol
• TARS - A Traffic-Adaptive Receiver-Synchronized Underwater MAC Protocol
• SMARP - A Stochastic MAC Protocol with Randomized Power Control for Underwater Sensor Networks

People

• Tiansi Hu
• Yu Han

Related Publications

• Y. Han and Y. Fei, “TARS: A Traffic-Adaptive Receiver-Synchronized MAC Protocol for Underwater Sensor Networks,” Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), Best Paper Award, Oct. 2015.
• Y. Han and Y. Fei, “A delay-aware probability-based MAC protocol for underwater acoustic sensor networks,” to appear, Proc. Int. Conf. on Computing, Networking and Communications, Wireless Ad Hoc and Sensor Networks Symposium (ICNC-WAHS), Feb. 2015.
• T. Hu and Y. Fei, "An adaptive routing protocol based on connectivity prediction for underwater disruption tolerant networks," IEEE Global Communications Conf. (GlobeCom), Dec. 2013.
• T. Hu and Y. Fei, "DSH-MAC: Medium Access Control Based on Decoupled and Suppressed Handshaking for Long-delay Underwater Acoustic Sensor Networks," IEEE Conf. on Local Computer Networks (LCN), Oct. 2013.
• T. Hu and Y. Fei, “MURAO: A multi-level routing protocol for acoustic-optical hybrid underwater wireless sensor networks,” Proc. IEEE Communications Society Conf. on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON), June, 2012.
• T. Hu and Y. Fei, “An adaptive and energy-efficient routing protocol based on machine learning for underwater delay tolerant networks,” ACM/IEEE Int. Symp. on Modeling, Analysis, and Simulation of Computer & Telecommunication Systems (MASCOTS), Aug. 2010.
• T. Hu and Y. Fei, “QELAR: A machine-learning-based adaptive routing protocol for energy efficient and lifetime-extended underwater sensor networks,” IEEE Trans. on Mobile Computing, vol. 9, no. 6, June 2010.
• P. Xie, Z. Zhou, Z. Peng, H. Yan, T. Hu, J.-H. Cui, Z. Shi, Y. Fei, and S. Zhou, Aqua-Sim: An NS-2 Based Simulator for Underwater Sensor Networks, IEEE/MTS Oceans 2009, Biloxi, Mississippi, Oct 2009.
• T. Hu and Y. Fei, “QELAR - A Q-learning-based energy-efficient and lifetime-aware routing protocol for underwater sensor networks,” in IEEE Int. Performance Computing & Communications Conf., Dec. 2008.

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