Designing the Undersea Internet of Things (IoT) and Machine-to-Machine (M2M) Communications Using UnderWater Acoustic MIMO Networks

Lazaropoulos, Athanasios G.

doi:10.17737/tre.2016.2.1.0017

Cited by 3 publications

(4 citation statements)

References 76 publications

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“…Any changes to the surroundings could result in delays when sound travels by a different path or at a different pace. Table 3 states the salinity contingent on the water depth.It should be remembered that the signal's frequency affects the sound wave's course and absorption [39,40].…”

Section: Sound Propagation Speedmentioning

confidence: 99%

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Sathish

Venkata

Anbazhagan

et al. 2023

Telecom

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Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction with integrated screen operations. The most advanced technological method of oceanic observation is wireless information routing beneath the ocean or generally underwater. Water bottoms are typically observed using oceanographic sensors that collect data at certain ocean zones. Most research on UWSNs focuses on physical levels, even though the localization level, such as guiding processes, is a more recent zone. Analyzing the presenting metrics of the current direction conventions for UWSNs is crucial for considering additional enhancements in a procedure employing underwater wireless sensor networks for locating sensors (UWSNs). Due to their severely constrained propagation, radio frequency (RF) transmissions are inappropriate for underwater environments. This makes it difficult to maintain network connectivity and localization. This provided a plan for employing adequate reliability and improved communication and is used to locate the node exactly using a variety of methods. In order to minimize inaccuracies, specific techniques are utilized to calculate the distance to the destination. It has a variety of qualities, such as limited bandwidth, high latency, low energy, and a high error probability. Both nodes enable technical professionals stationed on land to communicate data from the chosen oceanic zones rapidly. This study investigates the significance, uses, network architecture, requirements, and difficulties of undersea sensors.

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Section: Sound Propagation Speedmentioning

confidence: 99%

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Sathish

Venkata

Anbazhagan

et al. 2023

Telecom

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“…With high technological advances in UWSNs, sensors have become smarter, smaller, and more flexible with lower power consumption, increased processing capacity, and the ability to operate in various underwater applications. Also, UWSN technology can be integrated with Internet Protocol-based systems in supporting the Internet of Things (IoT) and machine-to-machine (M2M) frameworks for real-time monitoring [ 12 ]. The rapid growth of UWSNs domain and the availability of modern sensor node technologies have forced the necessity to ensure that awareness is increasing every year due to their compatibility and broad application in various sectors [ 13 , 14 ].…”

Section: Motivationmentioning

confidence: 99%

“…The environmental monitoring application serves to monitor the amount of pollution such as chemical and biological that is deposited on the seabed [ 2 , 8 ] and to conduct water quality observation that involves participation from people who are affected by using real-time notifications [ 45 ]. Moreover, in [ 12 ], robotic fish have been employed to measure oxygen levels in water as well as for pressure and temperature monitoring [ 70 ]. An ocean sampling application reported in [ 17 ] focuses on monitoring a large coastal area to study the ocean phenomena by applying underwater sensor vehicle technology at several locations.…”

Section: Thematic Taxonomy Of Uwsnsmentioning

confidence: 99%

A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges

Fattah

Gani

Ahmedy

et al. 2020

Sensors

134

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The domain of underwater wireless sensor networks (UWSNs) had received a lot of attention recently due to its significant advanced capabilities in the ocean surveillance, marine monitoring and application deployment for detecting underwater targets. However, the literature have not compiled the state-of-the-art along its direction to discover the recent advancements which were fuelled by the underwater sensor technologies. Hence, this paper offers the newest analysis on the available evidences by reviewing studies in the past five years on various aspects that support network activities and applications in UWSN environments. This work was motivated by the need for robust and flexible solutions that can satisfy the requirements for the rapid development of the underwater wireless sensor networks. This paper identifies the key requirements for achieving essential services as well as common platforms for UWSN. It also contributes a taxonomy of the critical elements in UWSNs by devising a classification on architectural elements, communications, routing protocol and standards, security, and applications of UWSNs. Finally, the major challenges that remain open are presented as a guide for future research directions.

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“…For example, the ecological monitoring application is used to track the amount of trash, both biological and chemical, accumulated on the sea-bed [8]. Furthermore, in [49], a robotic model Wireless Communications and Mobile Computing was used to evaluate the level of oxygen in the water and track temperature and pressure [50]. The authors in [51] present a coral reefs application that integrates big data, IoT, and sensor networks to assess the impact of humidity, pressure, ocean temperature, marine ecosystems, and salinity on coral bleaching.…”

Section: Confidentiality and Datamentioning

confidence: 99%

Analysis of Security Attacks and Taxonomy in Underwater Wireless Sensor Networks

Ahmad

Rahman

Zeb

et al. 2021

Wireless Communications and Mobile Computing

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Underwater Wireless Sensor Networks (UWSN) have gained more attention from researchers in recent years due to their advancement in marine monitoring, deployment of various applications, and ocean surveillance. The UWSN is an attractive field for both researchers and the industrial side. Due to the harsh underwater environment, own capabilities, and open acoustic channel, it is also vulnerable to malicious attacks and threats. Attackers can easily take advantage of these characteristics to steal the data between the source and destination. Many review articles are addressed some of the security attacks and taxonomy of the Underwater Wireless Sensor Networks. In this study, we have briefly addressed the taxonomy of the UWSNs from the most recent research articles related to the well-known research databases. This paper also discussed the security threats on each layer of the Underwater Wireless sensor networks. This study will help the researchers design the routing protocols to cover the known security threats and help industries manufacture the devices to observe these threats and security issues.

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Designing the Undersea Internet of Things (IoT) and Machine-to-Machine (M2M) Communications Using UnderWater Acoustic MIMO Networks

Abstract: Peer-Reviewed Review Article futureenergysp.com/index.php/tre

Cited by 3 publications

References 76 publications

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges

Analysis of Security Attacks and Taxonomy in Underwater Wireless Sensor Networks

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