Overview of Cognitive Radio Network
The cognitive radio network simulator is considered as the software based network simulator and that is deployed in the network level simulation. The cognitive radio technology is used for the efficiency of the utilization of wireless network spectrum. It is one of the most significant methods which are deployed to sort out the issues based on spectrum scarcity. The cognitive radio networks are considered as the spectrum resource utilization with the provision of extra communication capability.
Primary Usage of Cognitive Radio Network
Before getting deep into cognitive radio network simulator, the research scholars have to get some knowledge about the fundamentals points and the uses within it. Thus, we have listed down the significant benefits in the cognitive radio network simulator for your ease.
- It is supportive for the process of performance evaluation that is proposed for the power control algorithms, adaptive cognitive radio networking protocols and dynamic spectrum resource allocation for cognitive radio routing and cognitive radio protocols. In addition, the users have to utilize the process of radio models in cognitive radio network simulations as per the models such as
- 15.4
- 15.3
- 15.16
- 15.11
- It is deployed for the investigation and evaluation of the impact of lower layers such as physical and MAC layers based on network and transport layers protocols. The significance of end to end delay, throughput as QoS requirements and packet drop probability in real time are reliable for the applications with the metrics that are evaluated through cognitive radio network
Topical Modules in Cognitive Radio Network Simulator
Let us take a look into the notable modules with their functions which are considered as more important in the research process and it is helpful for the research scholars to elevate their research based on cognitive radio network simulator.
- CR simulation network models
- It is created through the utilization of INETMANET 2.0 and OMNeT++ 4.6 and adaptable for the modules that are created through CR network. The data transmission is simulated through the ping protocols and that is functioning through the adaptation process. The two tests are conducted for the validation of cognitive radio simulation network which is enhanced
- The users can perform the cognitive radio network through the utilization of peculiar cognitive functions based on the generic device OSI stacks
Significant Plugins in Cognitive Radio Network Simulator
Our research experts are providing significant knowledge about cognitive radio network simulator. In that way, this section is all about the plugins that are used in the research process of cognitive radio network simulator along with its characteristics in the following.
- RFnest
- Radio frequency network emulator simulator tool is abbreviated as RFnest and it is utilized for the creation of air environment through the alterations of channel properties through the digital process
- It is utilized in place of the air transmissions
- NEST
- Network emulator simulator testbed is abbreviated as NEST and it is denoted as the provision of implementation based on plug and play cognitive network implementation with the software defined radios (SDRs)
Prominent Classes in Cognitive Radio Network Simulator
Research scholars have to know about the required classes to implement the research project in cognitive radio network simulator. To make that ease, our research experts have enlisted the substantial libraries with its appropriate functions in the following.
- SpectrumManager
- Spectrum-manager.cc and spectrum-manager.h source files are deployed as the code for these classes in Ns3. It is deployed to control the spectrum process and it is similar to the processes such as
- Spectrum module definition
- Spectrum module definition
- State initialization
- PacketTypePacketTag
- The cognitive-packet-tags.h and cognitive-packet-tags.cc source files are used as the code for these classes. The class is used to control the transmitted packets based on the cognitive networks. In addition, the classes are classified into various types and they are
- Control packets
- Data packets
Intergrated Tools in Cognitive Radio Network Simulator
Hereby, we have highlighted the significant and integrated tools which are essential to develop a research project in cognitive radio network simulator.
- OMNeT++ is integrated with the MiXim package
- Ns2 is integrated with CogNs simulation framework in cognitive radio networks
Programming Languages in Cognitive Radio Network Simulator
Below are fundamental programming languages used in cognitive radio network simulator, the research scholars can choose any programming language and it can get our comprehensive guidance for the research project implementation.
- OMNeT++
- .ned
- Ns3
- .h
- .cc
- Ns2
- .otcl
OS Support in Cognitive Radio Network Simulator
Basic operating system requirement for the implementation of cognitive radio network simulator based research projects are listed below. Research scholars can reach our technical expert for configuration support.
- Ubuntu – 18.04
- Windows – 10 (64 bit)
Tools Versions in Cognitive Radio Network Simulator
Below, we have highlighted the tools versions based on the cognitive radio network simulator, similarly research scholars can select various tools and get complete details about that by reaching our research experts.
- OMNeT++ 5.4.1
- Ns – 2.28
- Ns – 3.30.1
Substantial Protocols in Cognitive Radio Network Simulator
The major protocols used in CRN are listed below for quick understanding but there are diverse protocols which can be implemented in cognitive radio network simulator based projects. We are here to assist the research scholars to dig out the best protocol for your project implementation.
- DSR
- DSDV
- AODV
- Ad hoc on demand distance vector
Essential Parameters in Cognitive Radio Network Simulator
Here, we have enlisted the significant parameters that are used in the process of cognitive radio network simulator.
- Reachability
- It is defined as the capability to reach the destination that too in short distance and measured through the terms of kilometers and meters
- Time
- It is considered as the time required for simulation process in network and measured through minutes and seconds
- Speed
- It is denoted as the rate of data that is moved through the communication channels and it is measured over the bit per second
- Distance
- Distance among two nodes and the complete route for source node towards the destination node. It is measured through the kilometer and meter
Subject Based Modules in Cognitive Radio Network Simulator
Researchers must be aware of each modules of cognitive radio network and we offer the complete support for research students to understand and implement each module under cognitive radio network simulator. For quick reference, we have just listed two major modules used. Hereby, we have listed down the research subject areas with the appropriate tools in the cognitive radio network simulator.
- crSimulator
- It is the model based on cognitive radio ad hoc network simulations in OMNeT++
- Ns3
- It is deployed in the cognitive network for the performance such as
- Spectrum allocation
- Spectrum sensing
Key Syntax in Cognitive Radio Network Simulator
Below, we have highlighted the list of significant composition of the research projects to check and allocate the channel based on tag based packet classification based on cognitive radio network simulator.