Design and Simulation in OMNET ++ of a Wireless Sensor Network for Rural Exploitation Zones

Torres-Carrion, Renato; Gonzaga-Acaro, Carlos; Torres-Carrion, Hernan

doi:10.23919/cisti52073.2021.9476333

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…It has a generic architecture with flexible tools that facilitate introducing new simulation https:// journal.uob.edu.bh/ scenarios. It has a very portable framework, hence it is compatible with different operating systems such as MAC , Linux, and Windows OS [23], [24], [25], [26]. The researchers in [27] examined five MAC layer protocols.…”

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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