Report

Golamnsl

January 4, 2021 - January 10, 2021

Papers

Paper 4: UAV-assisted Solar Energy Distribution Technique Based on Partial Brownian Movement for the Internet of Things (Target: JCN).

Paper 5: Development of Routing Protocol in UAV Network for Military Environment, [Winter Intensive] (Target: ICT Express)

Paper 6: LSTM Based Solar Irradiance Prediction From Remote Sensing of Meteorological Data, (Target: IEEE Geoscience and Remote Sensing Letters)

Paper 7: A Machine Learning-based Energy Prediction Scheme for Energy-Harvesting WSN, (Target- KICS Winter Conference)

Thesis: Development of LSTM based Photovoltaic Power Generation Prediction Model for Drone

80% Progress
Last Week's Progress

Paper 4:
* Continue re-simulate the energy allocation part
* Continue writing the performance evaluation part


Paper 5:
* Worked on the simulation of OLSR routing on Matlab

This Week Todo's

Paper 4:
* Simulate the energy outage probability ratio of proposed and existing solution
* Complete the writing part and re-check for grammatical errors

Paper 7:
* Surveys paper based on energy harvesting technique in WSN
* Complete writing the paper for submission
* Complete the simulation work for submission

Project Progress

Development of UAV routing protocol for civil and military, Anti-drone project

80% Progress
Last Week's Project

Project 1:
* Worked on the Pixhawk to test the drone flight control
* Install the OPNET simulator For OLSR simulation

Project 2:
* Complete the data labelling of Phantom 3SE.
* Start working on another video for the dataset

This Week's Project

Project 1:
* Learn how to simulate OLSR routing in OPNET simulator
* Set-up the raspberry-pi for OLSR implementation

Project 2:
* Create a new video with a new drone for the dataset
* Complete the new drone dataset labelling

Monthly Goals

1. Submit the paper to KICS winter conference

2. Start writing a paper based on the Thesis paper

Annual Goals

* Submit at least one Journal

* At least 1 International Conference papers (Completed)

* Make sure to learn as many simulation tools as possible