Top 6 Wireless Simulator for Research

The notion of transmitting the data in wireless medium (like radio waves) is an outdated concept that has passed several decades of development. In this network, the deployed wireless simulator devices are equipped with in-built radio transceivers to transmit data from one node to another by sharing the radio spectrum. Though it may be an old idea, still it is an evergreen developing research domain.

This page principal emphasizes recent wireless Simulator network research areas and their supporting simulation tools!!!

Nowadays, research scholars are looking forward to efficient approaches and algorithms for efficient radio spectrum sharing. As a result, it makes all the occurrences of communication avail the best quality of service (QoS).       

Similarly, there are many operations involved in the networking model to enhance wireless communication. And the major mechanisms involved in wireless networking are radio propagation, node object modeling, architectural designing, and MAC & PHY layers modeling. We support you in all these primary and other operations of wireless networking. Further, we also guide you in handpicking suitable simulators based on your project requirements.  

For any research area of wireless simulation, the research issues are identified based on the research gap (i.e., something unknown or known but completely figured out). By the by, these issues are found out by conducting an in-depth survey on recent research papers. Our research team not only identifies the research issues but is also adept to frame suitable solutions for all issues. Below, we have given you primary research holes in wireless networking and communication.

Research Gaps of Wireless

• Utilization of Energy – In this, we need to avoid the wastage of resources (power and energy) and increase the network lifespan
• Quality of Service – In this, we need toconcern about QoS parameters by means of accuracy and delay while distributing the data in the network
• Cost of Reconfiguration – In this, we need to consider the size and amount of message while transmission for estimating the cost of system reconfiguration

Basically, the wireless network models will establish communication through OSI layers. Here, each layer has certain responsibilities to make communication possible in networks. For your information, here we have given you the core function of every layer. Our research team has framed several research ideas related to the issues of the OSI layers. s.

Layers of Wireless Networks

• Physical Layer – Describe the physical features of the network
• Data Link Layer – Assure the trustable data distribution over physical connections 
• Network Layer – Secure the network connection from failures or breakageover upper layers
• Transport Layer – Perform complete error detection and correction
• Session Layer – Handle the session among different applications
• Presentation Layer – Enhances the data visualization to the end-users of applications
• Application Layer – Includes the softwareapplication that operates the functionalities of network

In communication systems, the analysis of real networks is challenging in real implementation. So, the network simulation tools make this process easy by reproducing the original network performance and behaviour. Also, it enables to implementation of all engineering approaches for effective network communication.  

Specifically, future technologies like smart transportation and smart cities are turning out to be the turning point of smart data sensing and utilization on using network simulation. In order to support you in every aspect of wireless simulator, we have raised our skills in the following, 

We know the following part of wireless simulation,

• Understood the beneficial impact of wireless simulation
• Improved programmability to cope with new technologies and tools
• Gathered more knowledge in recent technological advancements of wireless simulators
• Realized the significance of wireless networking simulation in designing urban mobility models for smart cities
• Practiced in handling cloud-enabled network infrastructure with respect to authentication, scalability and security
• Gained knowledge on dynamic network structure variation, data operations, high fidelity designing, simulation and more
• Familiarized in simulation of integrated networks and technologies in real-time applications and services
• Studied several real-time use-cases and case-studies of wireless simulation to grasp information on current techniques 

Next, we can see the features of wireless simulator. Since, these features while designing, developing, and simulating wireless models. Here, we have presented you with how these features enhance the performance of wireless models. In fact, our developers knew all the smart ways to improve the features themselves to achieve maximum performance of the wireless models.  

Wireless Simulation Characteristics

• Network Management
  • Easy to control the initial network components, conditions and scenarios settings in the simulation environment
  • Able to generate the scenario based on the existing running scenarios for the purpose of network performance testing
• Data Generation
  • Support both data generation and online / offline data validation (Train and Test) on using appropriate wireless simulators
• Entity-Level Interfacing
  • Allow third-party and owner to integrate interface with both external and internal modules
  • The interfaces may be of anything like communication standards as TCP, HTTP, etc. and group of APIs
• Extension Ability
  • Enable to perform two primary activities: one is enhancing the current working capabilities of software in advance and other is including the new features with present capabilities which are not planned in designing phase

Which is an example of network simulator?

We hope that you are clear about the importance and characteristics of wireless simulator. Now, we can see about the wireless simulators that are enriched in libraries, modules, and toolboxes to develop customized wireless network models. The extraordinary network emulation and simulation tools are LTESim (5G / LTE /Wi-Fi), NS2, Omnet++, Cooja (WSN/IoT), Glomosim, etc. Based on the needs of the project and research area, we need to select the simulator. Our developers will surely assist you to choose the appropriate tool for your handpicked project topic. For your reference, here we have given the roles of some promising simulators.

• NetSim
  • Enableto work with IEEE 802.11ac protocol and MIMO techniques and other key characteristics are given as follows,
    • Frequency Band – 5GHz
    • Physical Rates
      • 1733.2Mbps – (80MHz bandwidth)
      • 800Mbps – (40MHz bandwidth)
      • 3466.8Mbps – (160MHz bandwidth)
      • 346.8Mbps – (20MHz bandwidth)
    • Communication Type – VHT which also handle MIMO and packet aggregation (8×8 Tx and Rx antenna)
    • Guard Intermission – 400 per 800ns
    • Channel Bandwidth – 20/40/80/160MHz
    • Control or Base Rate – 7.2Mbps
• MATLAB
  • Support network designing in matlab Simulink and also support more toolboxes
  • For instance: scheduling toolbox helps to determine the network coverage, connectivity and shortest route
• Avrora
  • Simulation tool with the feature of extensibility and scalability for wireless sensor networks
  • Able to simulate, analyze and assess real-time applications at different scenarios
• NS3 and Opnet
  • Let you to design network protocols and work with every layer of OSI model for investigation in communication networks
  • Similar to LTESim, NS-3 also support 5G, LTE and Wi-Fi network
• TOSSIM 2
  • Support wireless sensor network applications in TinyOS
  • Code of simulation is can be reused for direct real WSN deployment
  • Focused to increase the accuracy of channel model

In addition, we have given you the advantage of using a wireless simulator. Since it describes how this simulator helps you to save development time and also it figures out how it minimizes the manual effort in implementing real-time applications. All these features motivate you to develop any kind of application of wireless simulators.

Benefits of Wireless Simulator

• Simple to learn and code
• Do not dependent on any platform
• Produce the graphical output as simulation results
• Enable you to work with any kind of Mathematical problems and matrices
• Advance computation tool to manage the up-to-date algorithms and techniques to find promising research solutions of many networking issues
• Availability of many open source simulators and cost-free packages for different networking processes

As mentioned earlier, network simulators are used to simplify the process of designing and assessing network environs without the presence of physical network components and real-world platforms. Further, these simulators will effectively perform the network simulation with respect to OSI models and TCP standards.  

In specific, simulation is used to examine each phase of the networking and communication models such as design, analysis, and testing. Moreover, it is also used to estimate the performance of the wireless network model topology, protocol, device, architecture, etc. On the whole, it is the low-cost approach to assess scalable network capabilities.

Due to its handful of benefits, it widely spreads in other emerging application areas related to network simulation. For instance: IoT logistics, urban modelling, smart manufacturing, virtual reality, augmented reality, electronics, etc. 

Our default constraint in research service is to provide up-to-date research areas for the benefit of scholars. So, we frequently update the list of the latest research areas of wireless simulator. In order to gain updates on recent areas, we regularly upgrade our skills on the latest developments by interacting with global experts in this field. So, we ensure you that our research areas are exclusive to others.

Latest Research Areas in Wireless Simulator  

• Spectrum Sensing, Sharing and Allocation in CRN
• Content Caching, delivery and Storage in WSN
• Data Transmission in Nano
• Wireless Molecular Communication
• Conceptual Information Analysis in Wireless Transmission
• Cooperative Multi-hop and D2D Communication
• Channel Designing, Coding, Characterization and Estimation
• Multi-carrier Modulation, Synchronization and Equalization
• Large-scale Data Analytics for Wireless Transmission
• Energy-Aware PHY and MAC Layer Design and Security
• Energy Efficient Joint Information Transmission
• Enhancement of sub-THz, UWB and mmWave Communication
• Employment of Machine Learning and Artificial Intelligence
• Interference Designing, Alignment, Control and Revocation
• Waveform Design and Signal Processing in Wireless Networks
• Dynamic Reconfigurable Surfaces for Secure Data Transmission
• Physical Layer Techniques for Asynchronous and Low-rate Communications
• Full duplexing Communication in Beyond 5G and 6G Networks
• Cloud-RAN: Improvisation of M-MIMO and MIMO Communication Techniques
• Efficient Physical Layer Modeling for Different Networks (WSN, Ad hoc, WLAN and mobile)

On the whole, if you are looking for more details about wireless simulation, wireless simulator, research areas, and project topics then approach us. Our experts will let you understand all basic and futuristic wireless domains.

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