Papers

Sanjay Bhardwaj

Title 1: Adaptive Interface Diversity Algorithm for URLLC in Industrial Wireless Network
-Rejected: JSAC

Title 2: Transparent Data-Hiding Scheme for High-Quality Audio File
-Accepted: IEEE International Conference on Consumer Electronics (ICCE)

Title 3: Energy Saving MAC Protocol for UAV assisted data gathering in wireless sensor networks
-Accepted: Conference CoNEXT18

Title 4: Leveraging Dragonfly Scheme for URLLC in Industrial Wireless Network
- Accepted: Conference- International Conference on Intelligent Communication, Control and Devices (ICICCD)-2018


Title 5: 802.11ax: Throughput challenges in Industrial wireless network
-Accepted: KICS Conference (Winter)


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

Title 9: Synergic Evaluation for URLLC in Industrial Wireless Network
Updated Title: Deep Q-Learning based resource allocation in Industrial wireless network for URLLC.
-Rejected: MobiCom Conference
-Rejected: Communication Letter
-Rejected IETE Technical Review
-Target: IET Communications

Title 10: Dragonfly Approach for Resource Scheduling for URLLC in Industrial Wireless Network
-Rejected: Communication Letters
-Rejected; Computer Standard Interface
-Submitted: Physical Communication

Title 11: 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


Avionics Project: Deep Learning in Mobile and Wireless Networking: A Survey

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8666641

Last Week's Progress

Title 9: Deep Q-Learning based resource allocation in Industrial wireless network for URLLC.
Target: IET Communications
- Simulation

This Week Todo's

Title 9: Deep Q-Learning based resource allocation in Industrial wireless network for URLLC.
Target: IET Communications
- Simulation-Continued

Project Progress

Life Bed

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