Paper 1: UAV-assisted Solar Energy Distribution Technique Based on Partial Brownian Movement for the Internet of Things (Target: JCN).
Paper 2: Development of Routing Protocol in UAV Network for Military Environment, (Target: ICT Express [Project])
Paper 3: LSTM Based Solar Irradiance Prediction From Remote Sensing of Meteorological Data, (Target: IEEE Geoscience and Remote Sensing Letters [Resubmission])
Paper 4: Accuracy Improvement of Energy Prediction for Energy Harvesting WSN using Hybrid Deep Learning Technique[Target: ICT Express or Renewable Energy (Elsevier)]
Paper 5: Energy-Efficient Drone Base Station Deployment Using Deep Learning Technique in Search and Rescue Mission. (KICS Summer Conference 2021)
Paper 3:
* Surveyed papers to show the comparison between proposed and existing solution
* Re-write the Problem formulation part
* Work on the simulation to show the comparison between existing models
Paper 5:
* Started writing the Introduction part
Paper 3:
* Complete the review comments correction for re-submission
* Check the typos and grammatical errors and cross-check with other peoples
* Get the professor's approval and re-submit it to the journal
Paper 5:
* Continue the writing of the Introduction part and Proposed Methodology part
* Start working on the simulation task
Development of UAV routing protocol for civil and military, Anti-Drone project
Project 1:
* Work on the simulation of energy-efficient OLSR routing
* Installed application for the raspberry-pi setting for indoor implementation
Project 2:
* Labelled 300 frames of DJI FPV drone for the dataset
Project 1:
* Finish the settings of raspberry-pi for the indoor implementation
* Continue the simulation of energy-efficient OLSR routing
Project 2:
* Label another 300 frames for the dataset
1. Complete the revision of the journal of IEEE Geoscience and Remote Sensing Letters
2. Finish writing the paper for KICS Summer 2021
* Submit at least two Journal in one year
* Attend one International Conference
* Make sure to learn as many simulation tools as possible