Ecologically Friendly Full-Duplex Data Transmission Scheme for Underwater Acoustic Sensor Networks

Qian, Yujie; Su, Hao; Han, Guangjie; Zhang, Jie; Li, Jun

doi:10.1109/jiot.2020.3040759

Cited by 18 publications

(3 citation statements)

References 46 publications

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“…In IGOR, nodes are capable of receiving data from various nodes and sending it in the direction of the sink. In Equation (11), O stands for the count of nodes, and E Total represents the total energy lost by all of the nodes in a round t, as in Equation ( 12).…”

Section: Periodic Beconing In Underwater Iotsmentioning

confidence: 99%

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Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Simon,

Kapileswar,

Phani Kumar

et al. 2023

Int J Communication

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SummaryUnderwater IoT is incredibly helpful in monitoring a variety of jobs, from instrument monitoring to climate recording, from pollution management to natural catastrophe forecasting. Nevertheless, there exist various issues that have an impact on a network's efficiency such as the formation of void holes, excessive EC, and low PDR. As a result, the IGOR protocol is suggested in this study to increase PDR by reducing the percentage of void hole occurrence. The developed routing protocols' scalability is also examined. Here, the parameter optimization for the EC minimization and PDR maximization is performed by a meta‐heuristic optimization algorithm referred to as TSA. In order to verify that the suggested protocol is EC‐optimal by calculating the viable areas. In addition, suggested protocols are evaluated against contemporaries' benchmark routing protocols. The outcomes of the simulations clearly demonstrate that the suggested routing protocols obtained greater PDR than the current techniques. Additionally, there exists a reduction in the ratio of void hole incidence. Comparative research reveals that suggested routing protocols outperformed benchmark routing protocols by 80–81% in PDR. Further, the suggested routing procedures reduced the frequency of void holes by around 30%.

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Section: Periodic Beconing In Underwater Iotsmentioning

confidence: 99%

“…To solve the geographical uncertainty issue, the majority of the publications offer various scheduling‐oriented algorithms and protocols 11 . The positions of IoUT nodes can shift over time owing to water movement, which causes different propagation delays.…”

Section: Introductionmentioning

confidence: 99%

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Simon,

Kapileswar,

Phani Kumar

et al. 2023

Int J Communication

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show abstract

“…Quality of monitoring (QoM) [1][2][3][4] of information in the underwater domain [5,6] is a recent concept that has attracted the attention of researchers in the field of wireless sensors and connected objects. In recent years, there has been an upsurge of interest in underwater wireless sensor networks (UWSNs).…”

Section: Introductionmentioning

confidence: 99%

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach

Aoueileyine

Bennouri

Berqia

et al. 2023

Sensors

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Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to perform long-distance and accurate detection by electromagnetic waves. Therefore, various types of acoustic and even optical sensing devices for underwater applications have been used. Equipped with submersibles, these underwater sensors can detect a wide underwater range accurately. In addition, the development of sensor technology will be modified and optimized according to the needs of ocean exploitation. In this paper, we propose a multiagent approach for optimizing the quality of monitoring (QoM) in underwater sensor networks. Our framework aspires to optimize the QoM by resorting to the machine learning concept of diversity. We devise a multiagent optimization procedure which is able to both reduce the redundancy among the sensor readings and maximize the diversity in a distributed and adaptive manner. The mobile sensor positions are adjusted iteratively using a gradient type of updates. The overall framework is tested through simulations based on realistic environment conditions. The proposed approach is compared to other placement approaches and is found to achieve a higher QoM with a smaller number of sensors.

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Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission

Soni,

Keshta,

Maaliw

et al. 2024

The Springer Series in Applied Machine Learning

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Ecologically Friendly Full-Duplex Data Transmission Scheme for Underwater Acoustic Sensor Networks

Cited by 18 publications

References 46 publications

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach

Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission

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