Fog Computing Projects are trending now a days among scholars we have curated more than 5000+ fog projects tailored to scholars needs. There are several research project ideas that are progressing in the domain of fog computing.  Starting from conceptual studies to realistic deployments, we suggest 25 research project ideas that utilize fog computing efficiently:

1. Dynamic Resource Allocation in Fog Computing

• In order to enhance performance and decrease latency, aim to investigate methods for dynamically assigning sources in fog computing platforms.

2. Energy-efficient Task Scheduling

• Concentrating on decreasing energy absorption when sustaining effectiveness levels, it is appreciable to construct and examine task scheduling methods.

3. Fog-based IoT Security Framework

• By manipulating fog computing, formulate a safety model for IoT devices to improve data morality and confidentiality.

4. Real-time Data Analytics for Smart Cities

• To enhance city facilities such as pollution tracking and congestion management, aim to deploy a framework for actual-time data processing and analytics in smart cities by utilizing fog nodes.

5. Fog Computing in Healthcare Monitoring Systems

• Specifically, for actual-time data analysis and notifications for patient care, construct a healthcare monitoring framework that employs fog computing.

6. Edge AI for Autonomous Vehicles

• To assist automated driving frameworks with limited latency, it is approachable to develop an environment for processing AI methods at the edge of the network.

7. Fog-assisted Robotics for Industry 4.0

• A fog computing infrastructure has to be formulated in such a manner that has the capability to improve interaction and cooperation of robotics in the production platforms.

8. Blockchain and Fog Computing for Supply Chain Management

• To construct a safe, effective supply chain management model, focus on incorporating blockchain with fog computing that is good enough for actual-time monitoring and authentication.

9. Disaster Response and Management Using Fog Computing

• For rapid data processing and interaction in cases of urgency, it is appreciable to apply a disaster management model that utilizes fog computing.

10. Fog-enhanced Augmented Reality (AR) Applications

          rustCopy code

             use for processing

              in

11. QoS-aware Service Placement in Fog Networks

diffCopy code

12. Load Balancing in Fog Computing Environments

cssCopy code

13. Fog Computing for Video Streaming Services

cssCopy code

14. Collaborative Edge and Fog Computing for IoT

cssCopy code

15. Fog Computing in Agriculture for Precision Farming

sqlCopy code      

in to from and in real-time

for precision

16. Predictive Maintenance in Industrial IoT Using Fog Computing

sqlCopy code                   

for using real time

17. Mobile Edge Computing (MEC) for 5G Networks

vbnetCopy code

of in 5G

on like

18. Privacy-preserving Data Analytics in Fog Computing

arduinoCopy code

for using

19. Fog Computing for Smart Grids

cssCopy code

20. Content Delivery Networks (CDNs) Enhanced by Fog Computing

csharpCopy code

with for in

21. Fog Computing for Multi-access Edge Computing (MEC)

vbnetCopy code

        of with to new and 

22. Distributed Data Storage Solutions in Fog Computing

cssCopy code

23. Network Function Virtualization (NFV) with Fog Computing

vbnetCopy code

of on to and

24. Fog Computing for Environmental Monitoring

cssCopy code

25. Serverless Computing Models in Fog Environments

cssCopy code

Based on certain necessities, these projects can be altered or prolonged to investigate multidisciplinary techniques, thereby creating in such a manner that is appropriate for thesis topics, educational study, or realistic deployments in business-specific applications.

Can I use iFogSim to simulate fog scenarios?

Yes, to simulate a fog setting, you can employ iFogSim. Generally, iFogSim is considered as a prominent simulator and is mainly formulated for designing and simulating fog computing platforms. In fog computing architecture, it allows developers and researchers to assess different policies for resource management, scheduling, and application employment. ClousSim is a prevalent cloud computing simulation toolkit, which is expanded by iFogSim in order to integrate the features and limitations certain to fog computing, like heterogeneity, integrity, and geo-distribution.

Usually, you should adhere to these procedures to simulate a fog setting with iFogSim:

1. Define Fog Devices

It is advisable to begin by explaining the fog devices in your settings such as their hardware features like memory, software, CPU, power absorption, and network connectivity. Typically, in iFogSim, involving fog nodes and edge devices, the fog devices range from small IoT devices to cloud data centers.

2. Create Applications

The applications that will execute on your fog architecture have to be described. iFogSim based application consists of modules. It is appreciable to mention the logic and necessities of these modules such as their processing power requirements and data exchange trends.

3. Design the Network Topology

To depict the physical and logical correlations among your fog devices, aim to configure the network topology. In order to imitate actual-world implementation settings, like IoT devices linked to edge nodes, that in turn are linked to local fog nodes and cloud data centers, this step establishes parent-child relationships between devices.

4. Implement Policies

The resource management and scheduling strategies should be deployed. Mainly, for task scheduling, resource allotment, and application positioning, iFogSim permits you to research various policies, thereby facilitating you to evaluate their influence on performance metrics like energy absorption, expense, and latency.

5. Run the Simulation

You can execute the simulation after establishing your fog devices, applications, and strategies. Based on your configurations and strategies, iFogSim will simulate the execution of your applications on the specified fog architecture.

6. Analyze Results

Finally, to interpret the activities of your applications and performance of your fog computing under various situations, aim to investigate the outcomes of simulation. For assessment, iFogSim offers different parameters like latency, network utilization, and energy absorption.

Example Code Snippet

javaCopy code

// Create fog devices

 FogDevice cloud = createFogDevice(“cloud”, 40000, 40000, 10000, 10000, 0, 0.01, 16 * 103, 16 * 83.25);

 FogDevice proxy = createFogDevice(“proxy-server”, 8000, 8000, 10000, 10000, 1, 0.0, 107.339, 83.4333);

// Add more devices…

// Create an application

 Application application = createApplication(appModel, appId);

// Define the network topology

 cloud.setParentId(-1);

proxy.setParentId(cloud.getId());

// Define more connections…

// Run the simulation

CloudSim.init(1, Calendar.getInstance(), false);

CloudSim.startSimulation();

// Process results…           

An extensive summary of the procedures that are included employing iFogSim are offered in this instance. Refer to the iFogSim documentation and accessible source code on its GitHub directory, for elaborated guidelines such as how to specify applications, devices, and certain configurations.