In the current years, several topics and ideas have evolved in a gradual way based on software defined networking (SDN) approach. The capacity to perceive uniqueness is what defines innovation. To delve deeper into this field, it is advisable to maintain contact with Exploration is the force that propels innovation, so let us all embark on an exploration journey in the SDN field. Relevant to this approach, we suggest some interesting project plans, including goals, techniques, and possible metrics in a concise manner:

  1. SDN-Based Quality of Service (QoS) Management
  • Goal: To focus on various kinds of network traffic, a QoS management system has to be applied.
  • Technique:
  • In Mininet, develop a network topology.
  • To categorize traffic, employ an appropriate SDN controller such as OpenDaylight or Ryu.
  • On the basis of traffic varieties, flow regulations have to be determined and implemented (for instance: VoIP, video, etc).
  • By including and excluding QoS strategies, assess the performance of the network.
  • Possible Metrics: Throughput, Packet loss, Jitter, and Latency.
  1. SDN-Based DDoS Attack Detection and Mitigation
  • Goal: Employ SDN’s centralized control for the identification and reduction of DDoS assaults.
  • Technique:
  • With the aid of Mininet, simulate a network topology.
  • In the SDN controller, an anomaly identification method must be created.
  • Utilize OpenFlow for implementing efficient reduction rules such as blacklisting, rate-limiting, etc.
  • Possible Metrics: Network Throughput, False Positives, and Detection Rate.
  1. Multi-Controller SDN Network Architecture
  • Goal: A multi-controller SDN framework has to be applied and examined.
  • Technique:
  • Initially, several SDN controllers such as ONOS, Floodlight, Ryu, and others should be arranged.
  • Using numerous hosts and switches, model a Mininet topology.
  • Then, it is important to examine fault tolerance, load balancing, and controller arrangements.
  • Possible Metrics: Failover Time, Scalability, and Controller Latency.
  1. Intent-Based Networking with OpenDaylight
  • Goal: Through the utilization of OpenDaylight, apply an intent-based networking system effectively.
  • Technique:
  • To specify network intents, an OpenDaylight application must be developed.
  • By means of the controller, convert intents into OpenFlow regulations.
  • For validating intent adherence, track the performance of the network.
  • Possible Metrics: Packet Loss, Latency, and Compliance Rate.
  1. SDN-Based Traffic Engineering and Load Balancing
  • Goal: Utilize SDN mechanism to enhance load balancing and traffic routing.
  • Technique:
  • A Mininet topology should be developed, including repeated routes.
  • In the SDN controller, a traffic engineering system has to be applied.
  • Plan to create various load-balancing methods such as Least Connections and Round-Robin.
  • Possible Metrics: Throughput, Latency, and Path Usage.
  1. Network Slicing with SDN and NFV
  • Goal: With the support of Network Functions Virtualization (NFV) and SDN, develop and handle network slices.
  • Technique:
  • To handle network slices, employ OPNFV and OpenDaylight.
  • In order to separate and allot resources, implement OpenFlow regulations.
  • For every slice, assess SLA adherence and resource separation.
  • Possible Metrics: Bandwidth Allocation, Latency, and Resource Usage.
  1. Machine Learning-Based Traffic Classification in SDN
  • Goal: Employ machine learning frameworks to categorize network traffic.
  • Technique:
  • Through the SDN controller, gather network flow data.
  • For traffic categorization, a machine learning framework has to be trained.
  • On the basis of categorization outcomes, implement flow regulations.
  • Possible Metrics: Throughput, Latency, and Categorization Accuracy.
  1. SDN-Based Edge Computing Network Management
  • Goal: Make use of SDN technology to improve edge computing resources.
  • Technique:
  • Including edge nodes, develop a network topology (for instance: Raspberry Pi).
  • Route traffic to edge nodes in an effective manner by employing an SDN controller.
  • Utilize dynamic routing to evaluate the performance of the application.
  • Possible Metrics: Latency, Memory/CPU Utilization, and Response Time.
  1. OpenFlow-Based Firewall Implementation
  • Goal: With the help of OpenFlow regulations, create a firewall application.
  • Technique:
  • Use an SDN controller such as Ryu or POX to develop a Mininet network.
  • To obstruct illicit traffic, apply a firewall system.
  • As a means to permit or obstruct particular ports/IP addresses, implement flow regulations.
  • Possible Metrics: Accuracy, Latency, and Packet Filtering Rate.
  1. Programmable Data Plane with P4 and SDN
  • Goal: For SDN switches, a programmable data plane must be modeled by utilizing P4.
  • Technique:
  • Employ BMv2 (P4 software switch) to develop a Mininet network.
  • For custom packet forwarding, draft a P4 coding.
  • Through an SDN controller like OpenDaylight or ONOS, regulate the P4 switch.
  • Possible Metrics: Flexibility, Throughput, and Packet Processing Latency.
  1. Network Monitoring and Visualization with SDN
  • Goal: Utilize an SDN controller for tracking and visualizing network traffic.
  • Technique:
  • By using NetFlow or sFlow, arrange an SDN controller.
  • Network traffic data has to be gathered and recorded in a database appropriately.
  • For actual-time visualization, create a web-related system.
  • Possible Metrics: Bandwidth Utilization, Flow Count, and Traffic Volumes.
  1. SDN-Based Network Virtualization Framework
  • Goal: Through the use of SDN mechanism, create a network virtualization architecture.
  • Technique:
  • For developing a virtual network platform, utilize Mininet.
  • In the SDN controller, a virtual network handler has to be applied.
  • To isolate traffic into virtual networks, implement OpenFlow regulations.
  • Possible Metrics: Scalability, Latency, and Isolation Effectiveness.

What is the simplest and easiest way to implement a software Defined Network SDN project?

Easiest Way to Execute a Software-Defined Network (SDN) Project

Utilizing Mininet and various SDN controllers such as Floodlight, Ryu, or POX is the efficient and simplest manner to execute an SDN-based project. To initiate this process, we offer a procedural instruction in an explicit way:

  1. Install Mininet

Linux (Ubuntu):

# Update packages and install Mininet

sudo apt-get update

sudo apt-get install mininet –y

  1. Install an SDN Controller

For initialing the process, select any one of the below specified controllers:

POX Controller:

# Clone the POX repository

git clone

# Navigate to the POX directory

cd pox

Ryu Controller:

# Install Ryu using pip

pip install ryu

Floodlight Controller:

# Clone the Floodlight repository

git clone

# Build Floodlight

cd floodlight

./gradlew shadowJar

  1. Develop a Simple Mininet Topology

By specifying your Mininet topology, develop a Python Script. Consider the following instance (


from import Mininet

from mininet.node import RemoteController, OVSController

from mininet.cli import CLI

from mininet.log import setLogLevel

def simple_topology():

# Initialize the Mininet network

net = Mininet(controller=RemoteController)

# Add a remote controller

c0 = net.addController(‘c0′, controller=RemoteController, ip=’’, port=6633)

# Add switches and hosts

s1 = net.addSwitch(‘s1’)

s2 = net.addSwitch(‘s2’)

h1 = net.addHost(‘h1′, ip=’’)

h2 = net.addHost(‘h2′, ip=’’)

h3 = net.addHost(‘h3′, ip=’’)

h4 = net.addHost(‘h4′, ip=’’)

# Add links between hosts and switches

net.addLink(h1, s1)

net.addLink(h2, s1)

net.addLink(h3, s2)

net.addLink(h4, s2)

# Add a link between the two switches

net.addLink(s1, s2)

# Start the network




if __name__ == ‘__main__’:



  1. Apply a Simple SDN Controller Application

In order to manage traffic, an application must be developed in the selected controller.

POX Controller Instance (

# pox/

from pox.core import core

import pox.openflow.libopenflow_01 as of

log = core.getLogger()

class SimpleSwitch(object):

def __init__(self):


def _handle_ConnectionUp(self, event):“Switch %s has connected”, event.connection)

def _handle_PacketIn(self, event):

packet = event.parsed

in_port = event.port

# Create an output action to forward packets

action = of.ofp_action_output(port=of.OFPP_FLOOD)

msg = of.ofp_packet_out(, in_port=in_port)



def launch():


Ryu Controller Instance (


from ryu.base import app_manager

from ryu.controller import ofp_event

from ryu.controller.handler import MAIN_DISPATCHER, set_ev_cls

from ryu.ofproto import ofproto_v1_3

from ryu.lib.packet import packet, ethernet

class SimpleSwitch(app_manager.RyuApp):


def __init__(self, *args, **kwargs):

super(SimpleSwitch, self).__init__(*args, **kwargs)

self.mac_to_port = {}

@set_ev_cls(ofp_event.EventOFPSwitchFeatures, MAIN_DISPATCHER)

def switch_features_handler(self, ev):

datapath = ev.msg.datapath

ofproto = datapath.ofproto

parser = datapath.ofproto_parser

match = parser.OFPMatch()

actions = [parser.OFPActionOutput(ofproto.OFPP_CONTROLLER, ofproto.OFPCML_NO_BUFFER)]

self.add_flow(datapath, 0, match, actions)

def add_flow(self, datapath, priority, match, actions):

ofproto = datapath.ofproto

parser = datapath.ofproto_parser

inst = [parser.OFPInstructionActions(ofproto.OFPIT_APPLY_ACTIONS, actions)]

mod = parser.OFPFlowMod(datapath=datapath, priority=priority, match=match, instructions=inst)


@set_ev_cls(ofp_event.EventOFPPacketIn, MAIN_DISPATCHER)

def packet_in_handler(self, ev):

msg = ev.msg

datapath = msg.datapath

ofproto = datapath.ofproto

parser = datapath.ofproto_parser

in_port = msg.match[‘in_port’]

pkt = packet.Packet(

eth = pkt.get_protocols(ethernet.ethernet)[0]

dst = eth.dst

src = eth.src

dpid =

self.mac_to_port.setdefault(dpid, {})

self.mac_to_port[dpid][src] = in_port

if dst in self.mac_to_port[dpid]:

out_port = self.mac_to_port[dpid][dst]


out_port = ofproto.OFPP_FLOOD

actions = [parser.OFPActionOutput(out_port)]

match = parser.OFPMatch(in_port=in_port, eth_dst=dst)

self.add_flow(datapath, 1, match, actions)

data = None

if msg.buffer_id == ofproto.OFP_NO_BUFFER:

data =

out = parser.OFPPacketOut(datapath=datapath, buffer_id=msg.buffer_id, in_port=in_port, actions=actions, data=data)


  1. Execute the Network and Controller

Execute Mininet Topology

sudo python3

Execute the POX Controller Application:

# In the POX directory

./ log.level –DEBUG simple_switch

Execute the Ryu Controller Application:

# Run Ryu controller


Execute the Floodlight Controller Application:

# In the Floodlight directory

java -jar target/floodlight.jar

  1. Assess Connectivity

Mininet CLI Commands:

# Test connectivity between hosts

mininet> pingall

# Run iperf throughput test between hosts

mininet> h1 iperf -s &

mininet> h2 iperf -c h1


  1. Select an SDN Controller: Major SDN controllers encompass Floodlight, Ryu, POX, etc.
  2. Develop Mininet Topology: Python script on the basis of your network topology.
  3. Apply SDN Controller Application: Includes simple switch or conventional application.
  4. Execute Mininet and Controller: It is important to make sure that the Mininet and controller are functioning.
  5. Assess and Examine: To validate performance and connection, utilize iperf and ping.

SDN Based thesis Topics

SDN Based Projects

All aspects of your SDN project that we develop will be created entirely from the beginning. Below, you will find a compilation of SDN-based projects. If you are seeking customized services, we are the leading research company that offers innovative solutions.

  1. Protocol oblivious forwarding (POF): Software-defined networking with enhanced programmability
  2. Machine learning-based botnet detection in software-defined network: a systematic review
  3. CrossRoads: Seamless VM mobility across data centers through software defined networking
  4. Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities
  5. Effective topology tampering attacks and defenses in software-defined networks
  6. Next generation clouds, the chameleon cloud testbed, and software defined networking (sdn)
  7. Leveraging software-defined networking for incident response in industrial control systems
  8. Software-defined networks (SDNs) and Internet of Things (IoTs): A qualitative prediction for 2020
  9. Revolutionizing Network Control: Exploring the Landscape of Software-Defined Networking (SDN)
  10. EASM: Efficiency-aware switch migration for balancing controller loads in software-defined networking
  11. Quality of service (QoS)-guaranteed network resource allocation via software defined networking (SDN)
  12. Fractional switch migration in multi-controller software-defined networking
  13. Scalable traffic sampling using centrality measure on software-defined networks
  14. Flow scheduling for conflict-free network updates in time-sensitive software-defined networks
  15. Privacy-preserving DDoS attack detection using cross-domain traffic in software defined networks
  16. Dynamic anchor points selection for mobility management in Software Defined Networks
  17. Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment
  18. Detection techniques of distributed denial of service attacks on software-defined networking controller–a review
  19. Joint resource allocation for software-defined networking, caching, and computing
  20. NCPSO: A solution of the controller placement problem in software defined networks