What is Network Simulators?

         The virtual network laboratory is considered as the network simulators and it is permitting users to configure, run and define the multifaceted virtualized networks along with the cables, switches, hubs, routers and computers.

Uses of Network Simulators

          The network simulators are supportive for the process of integration in virtual networks along with the physical host network that is related to the simulation process. The simulator is created to generate the environment which includes all the software configurations and variables that are exist in the application with the actual production environment. The network simulators are capable to for the utilization in the process of virtual models in all kinds of data such as video and voice networks. The process of planning, training and testing the tools are utilized to signify the situation of network accuracy.

Applications in Network Simulators

• Communication standards based applications for WSN
• WSN standards include some dissimilarities and similarities and all the standards are related to IEEE 802.15.4 standards with the similar frequencies such as 2.4 GHz. The Zigbee is supportive for tree, star and mesh topologies meanwhile the wireless HART such as ISA 100 are supportive for the star, mesh and the combination of star and mesh topology
• Indoor location data based applications
• IoT is functioning as the best analytical process of movement and location based on small objects in the restricted space. The capability of this process is proceeding to provide more attention in the pandemic process. The organization is functioning as innovations for new methods in IoT sensors with the utilization wide range of delivery methods in the indoor location data which is indispensable
• Multiplex networks based applications
• It is the network which includes various layers and all the process are repeating the single subject with some node entities and connections that are pairwise process with the coverage and connect the performance of simulation process

         Following this, our research experts have stated a short note about the significant list of network simulators. It is essential for the research scholars to get to know about the key utilizations of the below mentioned network simulators.

List of Network Simulators

• Qualnet
• Cooja
• Ns 2.35

Qualnet

• Library model in Qualnet simulation
• Propagation library
• It is deployed to model the MAC address, high radio frequencies, urban path loss effects and terrain propagation effects. In addition, it includes the process such as URBAN, TIREM and ASAPS or ALE
• Developer library
• Satellite networks, WAN, IPv6 and LAN are the networks that are modeled through the utilization of this library
• Multimedia and enterprise library
• It is deployed for the process such as modeling QoS, VIOP and queuing scheduling. This library includes the processes such as
• Diffuser
• RED
• CBQ
• QOSPF
• RSP
• RSPV-TE
• WRR
• R10
• WFQ
• WRED
• SCFQ
• Military radio library
• This library includes the models such as
• JTRS
• Link-16
• Link-11
• Wireless network library
• Router configuration
• EIGRP
• OSPF
• LAN
• HSRP
• IGRP
• BGP
• Wireless library
• DSR directional antenna
• FSR
• CSMA
• MACA
• ZRP
• OSLR
• STAR
• ODMRP
• LASRI
• AODV
• Exata
• 11b
• 11a
• QUALNET developer
• Cellular library
• It is denoted as the modeling process are called as GNs3 network
• Model channels in Qualnet simulation
• Propagation models
• Results are provided through the physical layer which is called as antenna model
• AOA
• Propagation delay
• Fading models
• Ricean distributing
• Rayleigh distribution
• Terrain based pathloss models
• TIREM
• ITM for Longley rice
• Non terrain based pathloss models
• Two ray
• Free space
• Antenna models
• Steerable beam
• It is capable to store the various radiation patterns and steer for the maximization of gaining in the provided direction
• Omni directional
• It is about to return the fixed gain in all the directions
• Switched beam
• It is store the several radiation patterns and return the GaandGe with provided direction of particular pattern
• Path loss model
• It is deployed monitor the attenuation, node coordination and parameter signals that are tunable and it is capable for the computation process
• Fading model
• Both the Rican and Rayleigh distributions are deployed for the utilization of fading model implementation and that is distribution which is calculated through the propagation of fading model parameters
• Statistical propagation model
• The parameter namely propagation channel frequency are utilized for the recognition of simulated channel and the unit of frequency is Hertz. The instance ID is considered as the provision of various users
• Shadowing model
• It is used to free up the space in model which is considered as the standard deviation of model. In addition, it is found using the propagation fading model

Cooja

        The Cooja is defined as the cross layer java based wireless sensor network simulator is distributed with the process of Contiki. In addition, it permits the simulation process for various levels over the physical layer to application layer and the hardware emulation is functioning through the set of sensor nodes. Below, we have highlighted the significant models that are functioning in the Cooja simulator.

• UDGM model
• The UDGM distance loss is considered as the extension of first radio propagation model along with the interferences based on the packets that are transmitted with the utilization of success ratio TX probability and the success ratio RX probability is deployed for the establishment
• MRM model
• The ray tracing technique is deployed for the functions of MRM model. The attenuators such as obstacles and friis formula are deployed for the calculation process of receiver power. Additionally, it is used to calculate the diffractions, reflections and refraction
• Omnidirectional antenna model
• There is an assumption in simulation Cooja that the nodes are equipped through the utilization of omnidirectional antennas but in recent days there is no support for the directional antennas. The wireless sensor networks are functioning with both the smart and directional antennas with the growing interest

Ns 2.35

            Ns2 is considered as the tool that is used in the simulation process of networks and it is considered as the significant phase in software process the prediction of network performance without the appearance of real network.

• Wireless nodes simulation
• It is used to design the wireless network with the information about various components and nodes. In the following, our research professionals are enlisted the list of some wireless network parameters and the network components
• PHY layer
• It is the wireless channel that includes processes such as signal receiving and node transmission
• MAC layer
• Interface queue (IfQ)
• Link layer (LL)
• Wireless network parameters
• The wireless network is designed through the various known definition of all the options that are applicable in the node options and it includes some parameters in wireless network design and they are enlisted in the following
• Tracing
• Visualization tools (NAM)
• Energy models, mobility models, radio propagation
• QoS: Diffserv
• Physical layers
• Omnidirectional antenna
• Different channels
• Directional antenna
• MAC layer protocol
• IEEE Mac 802.x
• TDMA
• CDMA
• Routing protocol
• DSR
• AODV
• DSDV
• Nam output to wire network
• It includes various wire nodes and network topology for the network which is connected among the topology and nodes. In addition, it is based on the tree topology and includes some other required network topologies. The Nam call is deployed for the data transmission between the nodes

            In addition, we have separate team of the best writers to support the research scholars in various types of writings such as proposal writing, literature review writing, paper writing, dissertation writing, thesis writing and etc. Here, we have enlisted the significant research topics of network simulator Ns3 in the following.

Thesis Topics in Network Simulator Ns3

• Energy efficient secure video streaming in UAV enabled wireless networks: A safe DQN approach
• Self-adapting model based SDSec for IoT networks using machine learning
• Physical layer security communication of cognitive UAV mobile relay network
• Research on detection method of wireless communication network security vulnerability based on sequence model
• Analysis of LEACH routing protocol in wireless sensor network with wormhole attack

          We hope that we have provided the required knowledge to develop a research project based on network simulator Ns3. This article is not an end for our research guidance, the research scholars can contact as at any time to clarify their research complexions and we are providing 24/7 support for the researchers