Analysis on Simulation Tools for Underwater Wireless Sensor Networks (UWSNs)

Ponraj, T C Subash; Sukumaran, Rajeev; Vignesh, S.; Manikandan, T.; Saravanan, M.

doi:10.1109/icicv50876.2021.9388401

Cited by 6 publications

(6 citation statements)

References 14 publications

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“…Ponraj et al [8] examined the design aspects of IoUTs. In their review, they discuss four concepts as follows:…”

Section: Design Key Concepts On Ioutsmentioning

confidence: 99%

“…A comprehensive examination of simulation tools in underwater systems is presented in [8]. The evolution of 5G technology, encompassing crucial aspects like high data rates, low latency, massive device connectivity, network slicing, and energy efficiency, introduces novel opportunities for underwater exploration.…”

Section: Comparison To Previous Survey Work In Ioutsmentioning

confidence: 99%

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Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Nkenyereye,

Ndibanje

2024

Electronics

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The term “Internet of Underwater Things (IoUT)” refers to a network of intelligent interconnected underwater devices designed to monitor various underwater activities. The IoUT allows for a network of autonomous underwater vehicles (AUVs) to communicate with each other, sense their surroundings, collect data, and transmit them to control centers on the surface at typical Internet speeds. These data serve as a valuable resource for various tasks, including conducting crash surveys, discovering shipwrecks, detecting early signs of tsunamis, monitoring animal health, obtaining real-time aquatic information, and conducting archaeological expeditions. This paper introduces an additional set of alternative simulation tools for underwater networks. We categorize these tools into open-source and licensed simulator options and recommend that students consider using open-source simulators for monitoring underwater networks. There has not been widespread deployment or extensive research on underwater 5G-based networks. However, simulation tools provide some general insights into the challenges and potential issues associated with evaluating such networks, based on the characteristics of underwater communication and 5G, by surveying 5G-based underwater networks and 5G key aspects addressed by the research community in underwater network systems. Through an extensive review of the literature, we discuss the architecture of both Internet of Underwater application-assisted AUVs and Internet of Underwater Things communications in the 5G-based system.

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“…Ponraj et al [8] examined the design aspects of IoUTs. In their review, they discuss four concepts as follows:…”

Section: Design Key Concepts On Ioutsmentioning

confidence: 99%

Section: Comparison To Previous Survey Work In Ioutsmentioning

confidence: 99%

Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Nkenyereye,

Ndibanje

2024

Electronics

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“…𝐸𝑛𝑑 𝑡𝑜 𝑒𝑛𝑑 𝑑𝑒𝑙𝑎𝑦 = 𝑇 𝑑 − 𝑇 𝑠 (5) Where 𝑇 𝑑 is the packet receive time at the destination and 𝑇 𝑠 , packet send time at the source node.…”

Section: Network Quality Of Servicementioning

confidence: 99%

“…It enables the use of a different variable to forecast the system's behavior. In all instances, the approach is viewed as an alternate realization that approximates the system, and its objective is to evaluate and comprehend the system's behavior under many alternative actions or decisions [5].…”

Section: Introductionmentioning

confidence: 99%

A New Approach Based on Intelligent Method to Classify Quality of Service

Altmemi

Abdulzahra

Alshawi

2022

IJCAI

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Computer networks are used more frequently for time-sensitive applications like voice over internet protocol and other communications. In computer networks, quality of service (QoS) can be crucial since it makes it easier to assess a network's performance and offers mechanisms for enhancing its performance. As a result, understanding the QoS provided by networks is essential for both network users and service providers to assess how well the transmission requirements of different applications are satisfied and to implement improvements to network performance. Next-generation monitoring systems must not only detect network performance deterioration instantly but also pinpoint the underlying cause of quality of service problems to achieve strict network standards. A brand-new fuzzy logic-based algorithm is suggested as a solution to this issue. Thus, the proposed approach was evaluated and compared with probabilistic neural networks (PNN) and Bayesian classification, as well as network performance measurement, latency, jitter, and packet loss. All approaches correctly classified the QoS categories, although generally, the fuzzy approach outperformed PNN and Bayesian. An improved comprehension of the network performance is acquired by precisely determining its QoS.Povzetek: Razvit je nov algoritem za odkrivanje vzroka za poslabšano kvaliteto storive v omrežjih.

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“…It enables the use of a different variable to forecast the system's behavior. In all instances, the simulation is viewed as an alternate realization that approximates the system, and its objective is to evaluate and comprehend the system's behavior under many alternative actions or decisions [2]. This field is narrower than the actual system and can identify more precise requirements that could be implemented in the actual system.…”

Section: Introductionmentioning

confidence: 99%

Enhance work for java based network analyzer tool used to analyze network simulator files

Alkenani

Nassar²

2023

IJEECS

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<span lang="EN-US">The network performance measurement is important in computer networks, and performance measurement may not be effective for installation in peripheral devices resulting in the replacement of those devices and thus increasing cost. In light of this, it is better to have a simulation of the network to see its performance rather than the actual design. NS-2 is one of the most popular and widely used open-source network simulators in many organizations, which generates trace files during the simulation experience. The trace file contains all network events that can be used to calculate performance. Thus, NS-2 does not offer any visualization options for analyzing simulation results (trace files), which is the fundamental problem of trace file parsing difficulty. This paper provides a graphical user interface tool that enables researchers to quickly and efficiently analyze and visualize NS-2 trace files. This tool is a development of the JDNA tool, as it could not analyze more than one trace file at a time. In addition, this work can be a useful guide for network researchers or other programmers to analyze their networks and understand how to calculate network performance metrics.</span>

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Analysis on Simulation Tools for Underwater Wireless Sensor Networks (UWSNs)

Cited by 6 publications

References 14 publications

Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

A New Approach Based on Intelligent Method to Classify Quality of Service

Enhance work for java based network analyzer tool used to analyze network simulator files

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