PhD Thesis Topics in Industrial Internet of Things

The industrial internet of things (IIoT) automates industrial activities by creating a smart working environment through autonomous self-healing machines. Also, it let the industries attain improved inventories and efficient industrial operations. Prior to choosing the finest PhD Thesis Topics in Industrial Internet of Things, you have to be clearer in the recent research areas. For that our experts have shared little important information about the futuristic IIoT with applications. 

As a matter of fact, it is truly the extended version of IoT specially meant for scholars for the industry. It majorly focuses on machine learning, artificial intelligence, wireless communication, and big data to create real-time industrial applications like software that defines production processes, robotics, healthcare system, intelligent system, smart grid, smart transportation, etc. So far, we have seen the general facts about the IIoT, and now we can deeply see how the internet of things is incorporated with the industrial sector. 

Latest PhD Thesis Topics in Industrial Internet of Things

This page is more useful for scholars who wish to know the latest technological developments in the IIoT research field!!!

How IoT is used in industry?                                                                      

IoT-oriented systems are concentrating on industrial production which supports to set up of interconnected, adaptable, and well-organized systems. In the perspective of the fourth industrial revolution (Industry 4.0), it enables the computation, networking, physical, and production processes in industries with the help of big data analytics and machine learning algorithms. The real-world information collected from sensors and other external sources assists the industrial devices and infrastructures to take effective decisions in any undesired situation. As a result, it completely transforms the way of industrial operations.

How IoT is used in agriculture?

In IIoT based smart agriculture, we can monitor crops growth, predict yield, surveying, and map the fields. For that, it encompasses robots, drones, remote sensors (such as temperature sensors, soil moisture sensors, etc.) along with GPS technology and aerial imaging. All these are bounded together with progressing machine learning and analytical tools to inform farmers for rational farm management plans to save both time and efficiency. 

Top 5 PhD Thesis Topics in Industrial Internet of Things

  • Detection of Attacks using Machine Learning in IIoT 
  • Digital-based Smart Factories, Supply Chains, and Logistics
  • Intelligent Machining and Inspection by Sensor-fusion 
  • Collaborative Manufacturing of Intelligent Systems for Cybersecurity
  • Smart or Intelligent Systems Development using Embedded Intelligence

Further, if you to know more novel ideas, then you can communicate with us. Our experts will offer you the best PhD Thesis Topics in Industrial Internet of Things. According to your requirements in IIoT, we finalize your research topic. 

How to choose the right research methodology in IIoT? 

Once you hand-pick the interesting area, the first and foremost stage to propose and execute the research work mainly underlies on right research methodology selection. This methodology is sure to describe the gathering, modeling, executing, and assessing research. Furthermore, accurate and appropriate research strategy selection promises the excellence of the conducted research. For instance, here we have offered a model workflow that shows the research approach for attacks detection in IIoT in detail.

  • Research Problem Formulation 
    • Prediction 
    • Clustering 
    • Regression 
    • Decision Making 
  • Real-Time Data collection 
    • Logs of Performance
    • Traffic Traces 
  • Data Analysis 
    • Preprocessing 
    • Extraction of Feature 
    • Selection of Optimal Feature 
  • Proposed Model Construction 
    • Offline Tuning with Training 
  • Deployment and Interference         
    • Tradeoff on Speed, Memory, Stability, and Precision of Interference 
  • Model Validation 
    • Analysis of Error with Cross-Validation 

After that, the outcome of the research work is also more important in the PhD study which grabs more attention of the panel members. No matter what topic you are choosing or what methodologies you are following, the final result speaks out the value of your research. So, here we have given little information about the overall performance evaluation of the IIoT system.

Performance Analysis in IIoT 

In general to get the highest performance for a proposed work, which tasks need to be carried out?

  • Performance Specification 
  • Components for Simulation Planning
  • Identification and Analysis of Bottlenecks
  • IoT-System Workload Characterization and Distribution
  • Correctness in finding the best value of system parameter (system tuning)
  • Accuracy in detecting the exact size and number of hardware and software
  • Simulate the proposed work for different scenarios and applications 

How to compute the performance of IIoT systems? 

In IIoT technology employment, the network leads to face several new challenges. As a result, a huge number of IoT applications move towards the change in requirements for better performance. Here, we have given you a few research ideas that concern the performance of IIoT systems.

QoE Analysis in IIoT 

Quality of Experience takes account of the whole system effects whereas, it relies on such as users, terminals, networks, services infrastructure, etc. For assessing QoE, the current established models essentially pursue multimedia systems. In addition, these models are specifically exploited by the exclusive subjective trials for IIoT applications. In addition, we have mentioned the various performance metrics are followed:

  • Goodput 
  • Bandwidth 
  • Throughput 
  • Resolution 
  • Service Time Efficiency 
  • Data Accuracy Level

Quality of IoT-experience (QoIoT) metric is the collection of IoT service distribution quality which measures from the individuals or machines viewpoint. Here, the subjective and objective human factors play a key role in end-users experience evaluation. In the meantime, the Quality of Machine Experience (QoME) transforms the whole machine performance to industry-oriented metrics by means of objective performance pointers.

QoS Analysis in IIoT 

In the IIoT network, there exist very important QoS parameters for analyzing system performance. And, some of them are delay, jitter, throughput, bandwidth, etc. On the whole, our PhD Thesis Topics in Industrial Internet of Things service assist you in all technical phases of your research.