Report

Riesa

November 26, 2019 - December 2, 2019

Papers

Title 1:
Enhanced Faulty Node Detection using Interval Weighting Factor for Distributed System (Journal of Communication and Networks) (S) (Status: ED immediate Decision)

Title 2:
Deep-reinforcement Learning for Traffic Signal Optimization in Edge-based Traffic Control System
(Target Journal: ELSEVIER Future Generation Computer Systems) (S) (Rejected)

Title 3:
Resource Allocation using Multi-level Edge Computing Network for Industrial Internet of Things (Will change the title) (Conference)

30% Progress
Last Week's Progress

Title 1:
Learn some new schemes of fault node detection for IIoT.

Title 2:
Study the paper and make the direction of contribution for this paper.


Title 3:
Revised the system model of illustration edge devices work and offload tasks to edge node.
Studied online optimization from one paper which related to UAV for Industry 4.0.

This Week Todo's

Title 1:
Learn some new schemes of fault node detection for IIoT.

Title 2:
Try to enhance the detection and prediction of scenarios that frequently occur at the intersection into simulation code.


Title 3:
Try to make a simulation code based on the proposed system.
Make one result, which is execution time for each computing task.
Enhance the baseline of online optimization-based UAV according to this proposed paper.

Project Progress

Project 1: NSL Control Protocol, Project 2: Website management, Project 3: UAV routing protocol (testbed)

15% Progress
Last Week's Project

Project 1:
Surveyed 3D printing software that free or purchase.

project 2:
Added some contents of the international conference on the new website.

project 3:
Searched about how to control and develop the PIXHAWK controller of UAV.

This Week's Project

Project 1:
Try to illustrate the highable design of software which support slicing software and controlling the motor by 3D printer hardware.

Project 3:
Survey a Odroid controller which more powerful than raspberry pi and also the protocol communication (MAVLINK).

Monthly Goals

Learn the edge technologies: Kubernetes. (How to integrated edge node with machine learning)

Annual Goals

-Able to write at least one in a domestic conference.
-Able to write at least one in international conference and journal