Report

Sanjay

January 19, 2020 - January 25, 2020

Papers

Sanjay Bhardwaj

Title 1: Transparent Data-Hiding Scheme for High-Quality Audio File
-Accepted: IEEE International Conference on Consumer Electronics (ICCE)

Title 2: Energy Saving MAC Protocol for UAV assisted data gathering in wireless sensor networks
-Accepted: Conference CoNEXT18

Title 3: Leveraging Dragonfly Scheme for URLLC in Industrial Wireless Network
- Accepted: Conference- International Conference on Intelligent Communication, Control and Devices (ICICCD)-2018


Title 4: 802.11ax: Throughput challenges in Industrial wireless network
-Accepted: KICS Conference (Winter)

Title 5- Latency aware IEEE 802.11ax based URLLC for Industrial wireless networks
-Accepted: KICS summer conference-2019

Title 6: Reliable Fog Computing for Industrial Internet of Things (Co-Author with Sadi)-
-Submitted: IETE Technical Review-Under Review


Title 7: Priority Aware Two-Phase MAC Scheduling for URLLC in IEEE 802.11ax based Industrial Wireless Networks
-Submitted: Transaction of Industrial Informatics-Under Review

Title 8: Dragonfly Approach for Resource Scheduling for URLLC in Industrial Wireless Network
-Rejected: Communication Letters
-Rejected; Computer Standard Interface
-Submitted: Physical Communication-Under Review


Title 9: Deep Q-Learning based resource allocation in Industrial wireless network for URLLC.
-Submitted: IET Communications-Minor Revision


Title 10: Dragonfly-based Swarm System Model for Node Identification of Ultra-reliable Low-latency Communication
-Rejected: Transaction of Industrial Informatics (TII).
-Rejected: Journal of Communication Networks (JCN).
-Rejected: Swarm and Evolutionary Computation
-Target: Neural Computation and application


Title 11: Deep Q-learning based SCMA for Industrial wireless networks-winter intensive
-Target: IET Electronic Letters


Avionics: DeepTarget: An Automatic Target Recognition Using Deep Convolutional Neural Networks

60% Progress
Last Week's Progress

Title 10: Dragonfly-based Swarm System Model for Node Identification of Ultra-reliable Low-latency Communication
-made changes as per editor and resubmitted the paper



Title 11: Deep Q-learning based SCMA for Industrial wireless networks-Winter Intensive
-Simulation Continued

This Week Todo's

Title 11: Deep Q-learning based SCMA for Industrial wireless networks-Winter Intensive
-Simulation Analysis

Project Progress

Life Bed

100% Progress
Last Week's Project

Project complete

This Week's Project

Further instructions awaited

Monthly Goals

Learning OMNET and other relevant tools for simulation

Annual Goals

1. Submitting at least two journal papers.
2. Acquiring knowledge of NSL lab working tools