A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks (In submission)
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks
• Update constraints
• Extend paper
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
• Reviewing papers:
+ Patrick Carroll, Kaleel Mahmood, Shengli Zhou, Fellow, IEEE, HaoZhou, Xiaoka Xu, Member, IEEE,and Jun-Hong Cui, Member, IEEE, "On-Demand Asynchronous Localization for Underwater Sensor Networks", IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 62, NO. 13, JULY 2014.
A. Joint Channel and Power Allocation for Underwater Cognitive Acoustic Networks
• Improve assumption and system model
• Extend paper
B. Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
• Reviewing papers:
+ 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.
Modelling of marine engines in ship propulsion control system
• Read paper related to propulsion system
• Studied Matlab code for propulsion system
• Learn simulation of Dynamic Systems with Matlab
• 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 international conference
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