EVALVID NS3 Simulation Projects

NS3: Definition: The NS3 is a sturdy and Flexible simulation tool used for network topology simulation. This type of simulation is primarily used for research purposes and implementing this simulator for real-time simulation will be expensive. This simulator helps also develop education. And the simulated models afforded by the NS3 trace the method of packet data transmission and it can function even in large-scale networks.

“Through this article, we introduce you effective information about the toolkit called “Evalvid” and its functions in networking and the process of Evalvid NS3 stimulation applied over the Evalvid tool to perform the NS3 simulation. In this article, you can get a lot of information the regarding title, mainly in the research aspect!!”

Overview of Evalvid

It is a kind of toolkit that can be used to perform effective video transmission. The Evalvid can be used as a substitute for other simulation structures. In general, the video file transfer in Evalvid can be achieved with the help of more than one file. The Evalvid is much flexible as it can be implemented in any scenario and it is simple to integrate with any other simulator.

Advantages of Evalvid

  • Estimates the quality of video transmission
  • Evaluating the quality of the network both real or simulated
  • Assessing the packet loss rates, delays, jitter, and the underlying network parameters
  • Implementing SSIM, PSNR metrics
  • Applying biased metric of video quality valuation
  • Supports H.264, H.263, MPEG-4, and also AAC with the help of committed PEAQ and PESQ metrics

The above-mentioned advantages are the uses-in-need of the Evalvid in the current scenario of networking. It has a wide range of use among networking users and the functions of Evalvid don’t end with its uses. Let’s discuss the documents and data infrastructure of Evalvid as follows

Documenting and data structures of Evalvid

As we discussed earlier, the Evalvid is primarily used for effective video transmission. In case of that, when documenting Evalvid we must need a video source. Usually, in the Evalvid file, the video types of files are stored in the YUV format as it is the chosen method for all MPEG-4 codecs. Evalvid can produce the video streaming if it gets a single encoded video, which is also called the trace files that contain every relevant Evalvid data to get results.

Evalvid NS3 Simulation

Evalvid-RA

  • The process of packeting in the MTU parameter occurs in the NS3 simulation process without concerning the limitations of macroblocks
  • Evalvid-RA cannot integrate with EvalVid 2. x. because of this inefficiency, the user working with raw *.m4v files cannot work on the *mp4 media file format.
  • So intimating the *.m4v files without some MTU setting is possible
  • Typically the EvalVid-RA is a toolset for tracking the file simulation occurring in the video of types MPEG-4.
  • Such simulation was formed by altering the unique EvalVid v1.2, which can be considered as the real NS3 interface and rendering NS3 by applying the rate-adaptive version of SVBR

The above functions and process are mentioned for the Evalvid-RA and it is considered as an important simulation toolkit for the file simulation tracing. Along with this, we provide you the tool list of Evalvid as follows.

The major tools of Evalvid

The basic structure of the Evalvid consists of three major tools

  • PSNR
  • MP4TRACE
  • ETMP4

And the functions of the above tools based on the following parameters

PSNR

  • Functions
    • Produces PSNR metric images in accordance to the given formulae
  • Usage
    • psnr x y <YUV format> <src.yuv> <dst.yuv> >
  • Parameters
    • x frame width
    • y structure height
    • YUV format: 420, 422, etc.
    • dst.yuv: partial video
    • source video: src.yuv

ETMP4

  • Functions
    • The mp4 trace produces the video file
    • Simulating the sender’s frame
    • The operation of etmp4 produces the video file on the basis of “st”, “sd” and “rd” files and as original transmitted video at times
    • Also produces QoS metrics on debit, packet loss
  • Usage
    • etmp4 -[p|f|F] -[0|x] [-c] <sd> <rd> <st>  <in> <out>
  • Parameters
    • complete frame, mode, -[0|x] fill lost section with 0 or truncate [-c],
    • -[p|f|F] packet
    • use cumulative jitter in case of  asynchronous clocks
    • <sd> tcpdump sender
    • <rd> tcpdump receiver
    • <st> trace-file sender
    • <in> transmitted video
    • [PoB] optional Play-out buffer size [ms

MP4TRACE

  • Functions
    • Obtaining video trace file by transforming the MPEG4 video file
    • Forwarding the trace file for Ns2 simulation
  • Usage
    • mp4trace [options] <file 1 > <file 2>
  • Parameters
    • Enabling -s host port: sends the RTP packets to stated host and UDP port
    • Generating Options: -[p/f] packet or frame mode
    • Transfers <file 1> the MPEG4 video file
    • Generates trace file by the tool

These are the significant functions and parameters and uses of the MP4TRACE tool. This tool is considered to be the important one as it conducts the major NS2 simulation process in the Evalvid and its structure. In addition to the parameters, let’s take a look at the NS 3 simulator applied on Evalvid.

Evalvid NS3

The NS3 simulator is generally used to simulate the Evalvid and the presence of the QoE monitor is served as an open-source module for NS3. Motivated by EvalVid NS3, it is used to complete

  • Quality-of-Experience (QoE)
  • And evaluating the multimedia communication

Evalvid NS3 is typically used to enable high-quality audio/ video or multimedia streaming. It is possible in the Evalvid as it ropes the various video codecs like MPEG-4, H.264 and even supports the simulated or real network. The feature of Evalvid NS3 follows

Fundamental Evalvid NS3 characteristics

  • Emulating fundamental RTP
  • H.264 video transportation by calculating the PSNR/SSIM
  • Evaluating jitter at the receiver side with RFC 3550 parameters

The above are the notable Evalvid NS3features. To make you more familiar with the functions and features of Evalvid NS3 Projects, we introduce you to the existing elements of Evalvid presented in the renowned LTE networks as follows.

LTE networks using NS-3 and Evalvid

The LThe LTE network topology generally consists of the following elements.

  • Femtocells
  • eNodeB
  • Buildings
  • User equipment
  • Quality of Experience (QoE)

Along with the above elements, the LTE-EPC network assessment occurs to categorize the module’s precision. The exceAlong with the above elements, the LTE-EPC network assessment occurs to categorize the module’s precision. The exceeding elements are very important in any network topology includes the LTE as discussed. The following are the steps of LTE-EPC network simulation.

Significant steps of LTE-EPC network simulation

  • Initiating QoS/QoE evaluation
  • Downloading video from the Evalvid link
  • Attempt to download video with various duration and framework.
  • Generating the video samples of ISO MP4 files
  • Downloading the hints to structure packet frames for RTP for instance
    • $./MP4BOX –hint –mtu 1024 –fps 30 –add <source_video> <trans_video>.mp4
  • Producing the required trace file and forwarding to the network.
  • Sending a hinted document of mp4-file per RTP/UDP to particularized destination host
  • Redirecting file to get later mp4 output

The exceeding steps are the important steps of simulating the LTE network by using Evalvid NS3. They are used in general to simulate the LTE network. In addition to the simulation steps of LTE, we provide you with the simulation execution steps of the LTE network.

Simulation execution steps in Evalvid NS3

Step 1: unloading Evalvid.zip file inside the folder ns-3.26/src/

Step 2: Ensure the right Evalvid unpacking

Step 3: Transfer input_cif.mp4 and st_input_cif.st files toward ns-3.26/

Step 4: Perform configuration and enable examples. /waf configure –enable

Step 5: Run ./waf build

Step 6: Run ./waf –run “evalvid-input-server” or ./waf –run “evalvid-lte”

The above-mentioned steps are our experimental steps used to run the NS-3 simulation over the LTE network. To execute the simulation over any desired networks these are the notable steps. Here we reach the core portion of this article, which depicts our suggestion over the dissertation titles of Evalvid NS3 as follows

Our trending dissertation topics

  • Distributing resources for Secrecy Rate Optimization in CR network assisted by UAV
  • Distributing energy efficient resources in the NOMA network assisted by multi UAVs
  • Improving endured service in a cellular network with the help of proactive radio resource allocation
  • Task offloading resource allocation in IoT edge network of multi UAV and providing multi-agent DRL
  • Network association based on QoS next-generation networks that permitted with AI

The above-mentioned research topics are defined as the research gaps to be explored in the Evalvid NS3 simulation. Performing projects in this domain assure you a promising future and choosing our service to complete your dissertation will ensure your expected result outcomes. To the best of our knowledge, we are experimenting with innovative techniques over the relevant domain and we extend our support and guidance at the various domains of networking. Subsequently, we insist you join us to obtain your expected result outcomes!!

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Research Topics Project Paper Thesis
3D Underwater WSN 150 499 541
Hybrid Beamforming 110 398 432
Intelligent Agent WSN 135 412 510
Blockchain technology 121 467 496
Optical Networks 149 398 465
Vehicular sensor Network 250 491 534
Industrial IoT 114 378 431
Service Discovery 170 419 489
Named Data Networking 121 386 423
SDN-NDN 110 427 498
D2D Communication 131 389 425
M2M Communication 108 389 411
UWB communication 124 495 510
5G Network Slicing 137 437 492
Delay Tolerant Network 105 469 533
Multi-Microgrid 111 326 379
Content-centric network 100 296 304
5G Beyond networks 131 379 409
Cloud-RAN 127 352 389
Fog-RAN 145 310 378
FANET 178 395 400
Cognitive adhoc network 153 325 363
Vehicular NDN 175 310 425
Multimedia sensor network205 275 315
V2X communication 151 200 308
Software-defined WSN 176 248 358
5G 201 289 365
Fibre Channel / Cellular / 5G topics
Cellular Networks 185 235 397
CRN 204 268 348
IoT 163 287 395
Intrusion Detection system110 257 348
LiFi 101 279 386
LTE 159 208 345
MANET 175 247 395
MIMO 142 298 354
Mobile Computing 114 254 308
RPL 189 275 357
SDN 109 258 346
VANET 152 278 359
Vertical Handover 108 241 367
Wireless Body Area Network121 198 348
Wireless Communication 178 248 371
Wireless Sensor Networks106 213 369
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