Wireless Network Behaviour during Jamming Attacks: Simulation using OPNET

Obaid, Hadeel S.

doi:10.1088/1742-6596/1530/1/012009

Cited by 10 publications

(9 citation statements)

References 5 publications

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“…This paper will also cover the architecture and software program applied. In the paper [31] wireless communication makes use of three approached to check the performance in evaluating the proposed protocol, namely (a) mathematical analysis, (b) simulation analysis, and (c) test-bed evaluation. Simulation, measurement and analytical modelling are the appropriate instruments to analyse performance of computer system [28].…”

Section: Methodsmentioning

confidence: 99%

“…Body sensors and relay nodes get their power supplies from the batteries embedded in them while the body coordinator is connected to the external power supply. The data is transmitted from the sensor node to the body sensors through routing path [31]. The literature survey reveal that it is essential to do further research on the improvement of congestion control in the transport layer protocol.…”

Section: Wban Architecturementioning

confidence: 99%

“…OPNET is simple to model as compared to NS-2 and NS-3. In the paper [31], OPNET plays an important role in emerging technical world in developing and improving the wireless technical protocols. Some of the functions that OPNET can perform are (a) to afford virtual real time environment with GUI, (b) contribute towards the evaluation of designs for new network models and architectures, (c) network models are already pre-defined for research and educational purposes, (d) easy to do interfacing, (e) reliable, efficient and easy to use, etc.…”

Section: Design Of the Simulation Modelmentioning

confidence: 99%

“…Some of the functions that OPNET can perform are (a) to afford virtual real time environment with GUI, (b) contribute towards the evaluation of designs for new network models and architectures, (c) network models are already pre-defined for research and educational purposes, (d) easy to do interfacing, (e) reliable, efficient and easy to use, etc. [31]. OPNET operates in four different parts, namely, design of the model, statistics application, the running of simulations, and view and analysis of results.…”

Section: Design Of the Simulation Modelmentioning

confidence: 99%

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Congestion Control Mechanism on Transport Layer Protocol: The Application of Terahertz Frequency

Sithole,

Thakur,

Singh

2023

I2M

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Due to the increasing population, there is a demand for new technologies that require nanotechnology. As a result, rapid increase in congestion will be experienced in the transport layer protocol. The transport layer protocol serves as a vehicle to transmit data from one layer to the next. Nanotechnology uses extremely small components in the region of 1×10 -9 or smaller. Moreover, with the new viruses or pandemics already detected like Ibola, Coronavirus, Monkeypox, etc. new technologies that will transmit data from the body of a patient to healthcare practitioners will be required and during this period, there will be a large amount of data transferred from one device to the other, and this will increase congestion in the network. The usage of social media, i.e., WhatsApp, Facebook, Twitter, Instagram, TikTok, etc., has also increased significantly, contributing to congestion in the wireless network. The use of wires to connect two or more devices is becoming obsolete as the world is moving towards the next industrial revolution. One of the Modelers that are used in wireless systems in local area networks is known as Optimized Network Engineering Tool (OPNET) 14.5. This simulation method is used in this paper to conclude. This paper also suggests further research that needs to be undertaken.

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Section: Methodsmentioning

confidence: 99%

Section: Wban Architecturementioning

confidence: 99%

Section: Design Of the Simulation Modelmentioning

confidence: 99%

Section: Design Of the Simulation Modelmentioning

confidence: 99%

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Congestion Control Mechanism on Transport Layer Protocol: The Application of Terahertz Frequency

Sithole,

Thakur,

Singh

2023

I2M

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“…The OPNET simulator offers an object-oriented programming approach and hierarchical modeling. Additionally, it provides the facility of customized functions where it can be developed from scratch [15], [16], [17], [18]. For example, the researchers in [19] used OPNET and ZigBee to implement WSN to perform water quality monitoring.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of Multimedia Data Transmission Over WSN Based on MATLAB/SIMULINK

Dawood¹,

Abdul-Aziz²,

Daood³

et al. 2023

IJCDS

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The wireless sensor network (WSN) design requires investigating the effect of the transmit/receive operations on data quality. Having a convenient simulation model that facilitates and speeds up the work is a challenging task. The MATLAB/SIMULINK is considered as a handy tool that mimics real events for many applications. Unfortunately, the complete WSN model for multidimensional signals is not provided. Therefore, this paper introduces the MATLAB/SIMULINK model to deal with 1-D and 2-D signals in WSN. Many simulation blocks and codes have been programmed in this work to facilitate multimedia transmission over the WSN. The proposed multimedia WSN (MWSN) model will help WSN designers to plan and test their topology, taking into account most parameters and effects before implementing the network in real life. Hence, the WSN design time and cost will be reduced, as well as the malfunctioning will be avoided. Noise ,interference and path loss were the major parameters that affect the quality of the transferred data. Those parameters are experimented in this work using different multimedia signals and the received signal quality is measured using peak signal-to-noise ratio (PSNR), and bit error rate (BER). Additionally, different channels that add many levels of interference and signal-to-noise ratio are used to imitate reality. The ultimate goal of this research is to model the physical layer and modify the internal architecture of WSN nodes to deal with multimedia signals. Therefore, floating-point re-quantization and buffers are invoked to cope with the design requirements. The resultant simulation model is designed to be scalable and easy to expand for many different WSN topologies. The proposed MWSN has visualization features, in addition to the assessment tools that simplify results' analysis. Besides, the availability of tuning its parameters can help researchers to adopt it for different channels.

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