Underwater Sensor Networks
From NUEESS
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| + | *Y. Han and Y. Fei, A Delay-Aware Probability-based MAC Protocol for Underwater Acoustic Sensor Networks, to appear in Proc. of 2015 International Conference on Computing, Networking and Communications (ICNC), Feb., 2015. | ||
*{{#lst:Publications|thc6}} | *{{#lst:Publications|thc6}} | ||
*{{#lst:Publications|thc5}} | *{{#lst:Publications|thc5}} | ||
Revision as of 17:13, 27 January 2015
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 MAC Protocol for Underwater Sensor Networks
People
Related Publications
- Y. Han and Y. Fei, A Delay-Aware Probability-based MAC Protocol for Underwater Acoustic Sensor Networks, to appear in Proc. of 2015 International Conference on Computing, Networking and Communications (ICNC), 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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