Design of WSN Model with NS2 for Animal Tracking and Monitoring

z, Tanveer Baig; Shastry, Chandrasekar

doi:10.1016/j.procs.2023.01.230

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The packet delivery ratio, data throughput, packet loss, and the delay of the transmission were examined and analyzed under the NS3. The researchers in [9] used NS-2 modeling software to study the WSN protocol throughput. They studied a specific case of wild animals' health tracking system, namely tiger vital signs.…”

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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Section: Literature Reviewmentioning

confidence: 99%

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

Dawood¹,

Abdul-Aziz²,

Daood³

et al. 2023

IJCDS

View full text Add to dashboard Cite

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“…However, obtaining real animal trajectories is a challenging task since only a small number of animals are being tracked, and even fewer are reported in the literature. Therefore, it is often not feasible to consider thousands of different trajectories for Monte Carlo simulations or other realistic simulators such as the NS-3 network simulator software [21,22]. In this regard, the proposed methodology aims to generate as many virtual animal traces [23][24][25] as required by the research team to conduct statistically accurate simulations.…”

Section: Introductionmentioning

confidence: 99%

Phase-Type Distributions of Animal Trajectories with Random Walks

Vera-Amaro,

Rivero-Ángeles,

Luviano-Juárez

2023

Mathematics

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Animal monitoring systems often rely on expensive and challenging GPS-based systems to obtain accurate trajectories. However, an alternative approach is to generate synthetic trajectories that exhibit similar statistical properties to real trajectories. These synthetic trajectories can be used effectively in the design of surveillance systems such as wireless sensor networks and drone-based techniques, which aid in data collection and the delineation of areas for animal conservation and reintroduction efforts. In this study, we propose a data generation method that utilizes simple phase-type distributions to produce synthetic animal trajectories. By employing probability distribution functions based on the exponential distribution, we achieve highly accurate approximations of the movement patterns of four distinct animal species. This approach significantly reduces processing time and complexity. The research primarily focuses on generating animal trajectories for four endangered species, comprising two terrestrial and two flying species, in order to demonstrate the efficacy of the proposed method.

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A self-regulation blades wind energy harvester system for self-powered wireless monitoring sensors

Wang,

Li,

Fan

et al. 2024

AIP Advances

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Using wind energy in the natural environment provides a promising solution for wireless sensor power supply for ecological, meteorological, environmental, and infrastructure monitoring. However, the uncertainty and disorder of natural wind restrict the further development of wind energy harvester systems and self-powered wireless sensor technology. Hence, this paper proposes a self-regulation blade wind energy harvester system (SBWEHS) for self-powered wireless monitoring sensors in remote field areas with power shortages. The system is mainly composed of three parts: wind harvesting mechanism, generator module, and energy storage module. The device can control the blade overlap ratio according to the wind speed while generating electricity to maximize the power coefficient. The system can control the blade’s closure in bad weather to protect the device. Based on the computational fluid dynamics technology of Ansys Fluent software, this study evaluated the impact of wind speed and blade overlap ratio on the two-stage blades. Experiments revealed that when the overlap ratio of the blades is fixed at 0.2 and the wind speed is set at 16 m/s, the maximum average power will reach 0.79 W, which fulfills the power requirements of wireless sensors. These results illustrate that the SBWEHS can effectively supply power for wireless monitoring sensors, especially in remote natural environments.

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Design of WSN Model with NS2 for Animal Tracking and Monitoring

Cited by 5 publications

References 5 publications

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

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

Phase-Type Distributions of Animal Trajectories with Random Walks

A self-regulation blades wind energy harvester system for self-powered wireless monitoring sensors

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