NS3: An Overview

NS3 is typically a distinct event simulator, by which we can perform simulation on the devices and systems that are connected with the Internet that is ultimately for academic and research. The NS3 projects with source code thrive to generate an exposing network environment that deserves the top favourite of the network research community.

“In this article, we present to you our experimental experiences over the NS3 simulator by various research perspectives and its further scopes!!! Through this article, we attempt to provide you our ideas over the NS3 projects with source code, its core elements, and its importance in the networking research domain”.

NS3 Model Library

NS3 tool is systematized with divided modules, which are constructed into the individual software library. Those separable programs can connect the modules when it’s required to perform the simulation. Principally, the NS3 models are the intangible demonstrations of protocols, devices and real-world objects, etc.

Naturally, the NS3 module can conduct more than one model. Here we provide you a rough idea that can be identified to accomplish the program of create-module.py with

              cd src

              ./create-module.py new-module

In addition to the above model library and the sample commands, we provide you the NS3 projects and their essential components as per the suggestion of our team of research developers as follows

NS3 Projects with Source Code

NS3 is chiefly a network simulator that sustains a huge amount of various unsystematic subjects and numerals of different fundamental classes. Though we’re able to consider the Online NS3 Simulator as configured and decided random results for the application we afford the NS3 projects with source code explaining both the wired and wireless networks. In case of that, we provide you the GNU library in addition to picture the result for the applications of both wired and wireless in the research projects.

Example components of NS3 projects

  • Sensor node
    • It is one among the fundamental elements of the wireless sensor network in order to perform numerous characters like data storage, data processing, sensing, routing, etc.
  • Base station
    • It is a high-ranking model in the wireless sensor network. It assures a messaging link between the end-user and sensor network.
  • Protocols
    • In order to obtain a clustering approach for multiple communication processes, we apply a hybrid energy-efficient circulating clustering process. When selecting a cluster head, the HEED protocol is cogitated for hybrid energy and communication. It is a combination of the following characteristics,
      • Altering the range of transmission and CH selection in order to validate the connectivity of inter cluster heads
      • The chances of nodes inside every transmission range to decrease the size of the cluster head.
      • No nodes intake the same energy.
  • End user
    • We generally implement sensor networks in large applications. Few applications generate the data network on the internet by PDA. Through this, we could enter the network data by the user destination and any demands managed by the end-user in a sensor network.
  • Clusters
    • Usually, we afford the clusters in WSN. In other cases, the condensed network characters are fragmented into a cluster in order to generate easy but actual communication.

The above-mentioned features are the major components we implemented in the NS3 projects. These are the sample components of our effort to validate the NS3 simulator. Along with the components, we provide you our sample implementations used in NS3 as follows,

Sample implementations by using the NS3 simulator

QUIC implementations for NS3

It is widely known as Quick UDP Internet Connections, which is a trending transport protocol, objects to recover from the TCP faults, particularly when updating the following logics

  • Acknowledgements
  • Retransmission
  • Controlling the flow and congestion

 In the case of the above definitions, we improved the major classes of innovative QUIC model that uses few fundamental infrastructures of the internet module of NS3 that frames other existing protocols like TCP and UDP, the code structure of the TCP implementation involves copying the divided congestion control originates in the main socket and the existence of the impartial buffer classes and it presents innovative components to justify the uniqueness of TCP corresponding to the QUIC.

Implementing NS3 Projects With Source Code

Multipath-TCP in NS3

We enhanced an innovative Multipath model TCP (MPTCP) in ns-3 that confirms the RFC-6824 that tracks the kernel design of MPTCP Linux. It sustains overcoming the damage of TCP NewReno class on the basis of per subflow. Its organization is based on the application of the MPTCP kernel. The MPTCP management can be divided into

  • MTPCP signaling
  • Connection and SubFlow Management

MTPCP Signaling: It is applied to establish the connection, which follows the client norms of three-way handshake of TCP

  • Assigns mp-Cable selection to syn packet
  • Sending syn packet to MpTcpSocketBase object
  • Splits MpTcpSocketBase object to deal with client communication

The process of the MTPCP process would generally initiate from associating the syn-ack reply to the mapping process and ends in storing the mapping in the corresponding object of TcpL4Protocol

SubFlow and Connection Management: These connections would initiate from the chief sub-flow, which is introduced to the implementation by the transferred interface of the socket. In general, we would implement the models belonging to the classes of

  • TcpL4Protocol
  • MpTcpSubflow
  • MpTcpSocketBase

NS3 based Public Safety Communication Simulation: The NS3 simulation generally sustains the PSC generated on innovative abilities of the 4G LTE system presented in the discharge of 3GPP and the later 12. It includes

  • Device to Device Communication
  • Mission Critical Push to Talk applications

In general, the PSC sustenance circulated between the NS3 modules mentioned below

  • Buildings: backing the path loss models of building effects in terms of 3GPP of public safety conditions
  • PSC: backing the circumstances and models of PSC particulars
  • Sip: involves the model of Session Initiation Protocol
  • Antenna: parabolic antenna in terms of TR 36.814 in 3GPP files

The core characteristic models of the low-level ProSe LTE operations are detected in LTE. It includes the PSC modules explaining using ns3 projects with source code of

  • A model for video Streaming
  • Innovative HTTP applications
  • Energy ingesting model to enable the vehicle (UAV) to fly
  • Multi-traffic models in a condition generating UDP model
  • A common model for MCPTT for the on-network, off-network conditions

BBR NS3 Time Congestion control

It can be called Bottleneck Bandwidth and Round-trip time (BBR) congestion control has the objective to afford higher throughput and lower delay when estimated with the other TCP IP algorithms of congestion control. Applying this model will enhance the updates of NS3 and its fundamental variation presents the user on the BBR activities and the fundamental performance to evaluate the BBR of identical throughputs and lower round trip-times when comparing to CUBIC in wired or wireless 4G LTE situations.

Our sample implementations of NS3 models can be used in some real-time scenarios. In addition to the above sample implementations of our sample NS3 simulations, we are reaching the chief part of this article. Below we provide you with the thesis topics suggested by our project developers.

Top 5 Trending Project Titles using NS3 Projects with Source Code

  • Dynamic data traffic and Deep-Q learning for 5G network slicing along with separated resource demands
  • Indulging the Human to Machine Traffic for AI-enabled Bandwidth distribution by completing Low- Latency in H2M applications
  • Power distribution, Relay Selection, channel Project of energy-efficient joint Optimization on the basis of Uplink mMTC network of Hypergraph
  • A neural Network approach on the Joint user connectivity and resource distribution of mmWave communication
  • Trajectory Design and Resource allocation in UAV assisted cellular networks on the Multi-agent Reinforcement Learning basis

However, the above project titles suggested by our project developers are based on the implementation of NS3 Projects with Source Code and they are identified as the research issues in the NS3 projects. As a matter of fact, our technical team has updated with innovative academic ideas and the norms to frame a project from selecting the research domain to particularizing in suggesting the solution for the research issues. We are ready to help you at any level of your projects. All you have to do is just confirm your acceptance of our service!!