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, [Winter Intensive] (Target: ICT Express)
Paper 3: LSTM Based Solar Irradiance Prediction From Remote Sensing of Meteorological Data, (Target: IEEE Geoscience and Remote Sensing Letters)
Paper 4: A Machine Learning-based Energy Prediction Scheme for Energy-Harvesting Base Station, (Target- Upcoming Conference)
Paper 5: Accuracy Improvement of Solar Energy Prediction for Energy Harvesting WSN using Hybrid Deep Learning Technique (Winter Intensive) (Target: ICT Express or Renewable Energy (Elsevier)
Paper 3:
* Worked on the review comment (compare your research with existing research findings), survey paper for a comparison of the existing model with the proposed one.
* Check the typos and grammatical errors based on the review comment
Paper 4:
* Preparing the dataset for the simulation of energy-efficient drone base station deployment
Paper 3:
* Provide a flowchart of the methodology of the system model based on review comment
* Work on the explanation of figure 1 solar irradiance framework in the paper
Development of UAV routing protocol for civil and military, Anti-Drone project
Project 1:
* Survey paper for OLSR indoor environment implementation
* Continue work on the OLSR simulation on OPNET
Project 2:
* Labelled the dataset of DJI Mavic drone
Project 1:
* Continue the simulation of energy-efficient OLSR routing in OPNET
* Survey papers related to OLSR implementation using raspberry-pi
Project 2:
* Label more frame of the DJI Mavic drone for the dataset
1. Complete working on the revision of the journal of IEEE Geoscience and Remote Sensing Letters
2. Complete the winter intensive paper and submit it
* Submit at least two Journal in one year
* Attend one International Conference
* Make sure to learn as many simulation tools as possible