Software Defined Networking (SDN) is a network technology that uses open protocols, for instance, Open Flow. These protocols are used to drive universally aware software management over the network edge to communicate between the network routers and switches.

Software Defined Networking Projects, we are acquainted with the following network information, 

• Network Operation and Analysis 
• Network Privacy and Security
• Network Services and Applications 

This page is about the recent research trends in Software Defined Networking Projects along with few important research topics!!!

In SDN, several challenges act as stumbling blocks in the execution of SDN Project Topics. So currently, our scholars are paying extra attention to these areas to improve the efficiency and the performance of SDN outcomes. For that, we have given you few important issues that SDN is facing today.

What are the performance challenges in SDN?

• Data Plane (Switches)
  • Adaptive Flow Rule / Entry Update Operation
  • Flow Table Security Threats and Vulnerabilities
  • Flow Table Overflow Controlling
• Control Plane (Controllers)
  • Control Threat and Vulnerabilities Analysis
  • Communication Latency and Bandwidth
  • Communication Overhead

Particularly in wide-ranging networks, flow rule updates are frequently essential for adapting active traffic patterns of networks. At that time, the controller initiates the switches to manipulate few flow rules for packets transmission.  

As well, SDN minimizes the intricacy of static networks. Also, it manages the entire network with its operations through a software application called a controller. For instance, SDN simplifies the administrative work of constructing the main process such as Quality of Service (QoS) and Safety. Now, let’s discuss the requirement of deploying SDN in other networks.

• To get the faster communication 
• To support heterogeneous sensors 
• To match the dynamic flow rules 
• To improve the data process and control 
• To increase the efficiency of static and dynamic sensors 

So far, we have discussed about the SDN features, performance challenges and deployment benefits. Now, our experts are fascinated to share add-on information about the latest vital Software Defined Networking Projects Topic in recent research.

Current Research Issues in SDN

• Enable various types of traffic flow arrival because of lack of sensors information (e.g. IP address)
• Cause high energy consumption in network devices due to battery draining
• Support resource distribution and optimization in the aggregation of the data by network devices 

In addition, our experts have revealed some areas where the SDN is currently using. Also, it initiates the scholars to think outside the box which eventually offers so many revolutionary research thoughts.

Where to use SDN?

• SDN in 5G or Beyond 5G or 6G Networks
• Wireless Ad-hoc and Sensor Networks
• High Speed / Broadband Networks
• Heterogeneous Networks in 5G and Beyond / 6G Networks
• Peer to Peer Botnet in SDNs
• Software Defined Data Centers (SDDC)
• Heterogeneous 5G Network projects
• SDN based IoT System (Smart Buildings / Home /  Cities / Grid)
• Secure and Reliable SDNs
• Standardization for IoTs
• 5G enabled LTE-Advanced networks
• LTE-Advanced HetNets and LTE
• Traffic / QoS Scheduling for LTE-A Networks

For illustrative purposes, we have taken SDN based 5G networks for which you can understand how SDN and 5G are accompanying together with more Software defined networking projects

What is SDN in 5G?

In 5G communication, the SDN-oriented virtualization lets the admin monitor, control, and alter the network distantly. Here, 5G can store the data which needs the controller for traffic management. Also, it allows the controller to access the cache and coordinates how the devices are connecting with the network. On the whole, SDN is intended to support a great variety of network applications that are flow-based with more difficult matching patterns. 

Research Methods in SDN-5G

• Bloom Filter Mechanism
• Flow Table Adaptive Timeout Technique
• Mixed Cover-set and Partition Mechanism
• Probability based Lognormal Distribution Approach
• Mathematical Model for Flow Table Load
• Combine Flow Table and Controller (CFC)
• Traffic based Dynamic Idle and Hard Timeout Allocation
• Direct acyclic graph (DAG) based Infinite CacheFlow Method
• Adaptive Idle Timeout Lognormal Distribution using Traffic feature
• Timeout Calculation using Idle Timeout with Two Stage-Table Technique

On the whole, we provide the best software defined networking projects with interdisciplinary podium for researchers to exhibit the exploration knowledge in their field of interest.