A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks (In Pulication)
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
A. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
• Reviewing papers for seminar:
+ Patrick Carroll, Kaleel Mahmood, Shengli Zhou, Fellow, IEEE, HaoZhou, Xiaoka Xu, Member, IEEE,and Jun-Hong Cui, Member, IEEE, "Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks", IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED, VOL. 23, NO. 11, NOVEMBER 2012.
B. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks
• Improve assumption and system model
• Extend paper
A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks
• Improve assumption and system model
• Try to simulate with mesh topology
• Extend paper
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
• Reviewing papers:
+ Zhong Zhou, Zheng Peng, Jun-Hong Cui, and Zhijie Shi, "Efficient Multipath Communication for Time-Critical Applications in Underwater Acoustic Sensor Networks", IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 19, NO. 1, FEBRUARY 2011
Modelling of marine engines in ship propulsion control system
• Read paper related to propulsion system
• Studied Matlab code for propulsion system
• Continue reading paper related to propulsion system
• Study more about simulation of propulsion system in Matlab
A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks
• Submit to journal
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
• Review paper
• Find new ideal
A. Submit paper to international conference and journal
B. Finish project