Report

Golamnsl

July 19, 2022 - July 25, 2022

Papers

Paper 1: Deep-Block: Blockchain-assisted Secure and Energy Efficient UAV-BS Deployment Using Deep Learning (Target: IEEE Transaction on Vehicular Technology)

Paper 2: Anti-Drone Design Techniques and Technology: Challenges, Oppurtunities, and Future Directions (Target: IEEE Journal on Selected Areas in Communications)

Paper 3: Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things (Target: MILCOM 2022 [Submitted])

Paper 4: Lightweight Blockchain Assisted Unauthorized UAV Access Prevention in the Internet of Military Things (Target: ICTC 2022)

30% Progress
Last Week's Progress

Paper 3:
* Worked on the consensus development task of voting mechanism
* Continued the paper writing task for the journal version

Paper 4:
* Finished the simulation work of access control mechanism (not complete)
* Continued the paper writing part

This Week Todo's

Paper 3:
* Keep working on the consensus development of proof-of-authority voting system
* keep writing the paper and design the system model

Paper 4:
* Complete the full simuation process
* Finish writing the paper and revise before submission

Project Progress

Water Quality Monitoring

30% Progress
Last Week's Project

* Surveyed papers on Water Quality Monitoring technologies
* Analyzed the existing model for further improvment
* Submitted the project proposal to prof Lee to show the company

This Week's Project

* Still waiting for the decision from prof Lee regarding project proposal
* Keep the analysis of the existing model for further improvement
* Continue the survey works on the related topics

Monthly Goals

* Finish working on the extension of MILCOM paper
* Complete the ICTC paper and submit
* Finish the Intensive paper and submit by the end of this month if ossible

Annual Goals

* Get accepted at least two SCI journal and submit as many as possible

* Attend as many competetive international conferences

* Make sure to learn and gain depth knowledge about the anti-drone system