CAPTAIN: A data collection algorithm for underwater optical-acoustic sensor networks

Júnior, Eduardo P. M. Câmara; Vieira, Luiz F. M.; Vieira, Marcos A. M.

doi:10.1016/j.comnet.2020.107145

Cited by 17 publications

(5 citation statements)

References 15 publications

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“…To lessen network traffic, cluster heads collect and aggregate all the data and send it to the next hop to reduce the network traffic. 30 An energy-aware multilevel clustering strategy is presented to increase the lifespan of the underwater WSN. The undersea network region is thought to be composed of multiple-level, 3D concentric cylinders.…”

Section: Referencementioning

confidence: 99%

“…Cluster heads employ acoustic communication to reach far nodes, whereas cluster members use optical communication to convey data more efficiently. To lessen network traffic, cluster heads collect and aggregate all the data and send it to the next hop to reduce the network traffic 30 . An energy‐aware multilevel clustering strategy is presented to increase the lifespan of the underwater WSN.…”

Section: Related Workmentioning

confidence: 99%

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UASN‐3D: An energy efficient localization based on LEACH‐BR algorithm (EELBL‐BR)

Yadav,

Khilar

2023

Trans Emerging Tel Tech

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Underwater acoustic sensor networks (UASN) research is gaining popularity as it has various applications such as military communication, oil rig maintenance, animal survival, linking submarines to land, gathering data for water monitoring, and other commercial fields. The two most critical requirements for the application's proper operation are the accurate knowledge of sensor node locations and the efficient transmission of accurate underwater sensor node information to the base station with efficient energy consumption. The proposed energy efficient localization based on the LEACH‐beacon and reinforced node (EELBL‐BR) algorithm satisfies both the requirements in 3D‐UASN. The proposed algorithm considers the deployment and computation of accurate location of sensor nodes in the underwater environment by applying I‐LASP (improvement of localization algorithm for compensating stratification effect based on extended improved particle swarm optimization technique) (Yadav N, Khilar PM. Trans Emerg Telecommun Technol. 2023;34:e4772.) for 3D environment. It performs clustering of sensor nodes for enhancing network lifetime using three different types of nodes such as beacon, reinforced, and member nodes. The proposed clustering LEACH‐BR (low‐energy adaptive clustering hierarchy‐beacon and reinforced nodes) algorithm is based upon the LEACH algorithm which provides accurate location of all the sensor nodes, improves energy consumption and reliability in the underwater environment. The result shows that the proposed algorithm EELBL‐BR, considering both beacon and reinforced nodes, provides the improvement in the number of alive nodes, reduction in the number of dead nodes, reduction in energy consumption and enhances residual energy in the UASN by 68.90%, 51.91%, 51.47%, and 68.12% respectively with respect to the number of rounds as compared to that of the existing algorithm by Rizvi et al. (Wirel Pers Commun. 2022;124(4):3725–3741.) and thus outperforms the existing algorithm (Rizvi HH, Khan SA, Enam RN. Wirel Pers Commun. 2022;124(4):3725–3741.).

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Section: Referencementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

UASN‐3D: An energy efficient localization based on LEACH‐BR algorithm (EELBL‐BR)

Yadav,

Khilar

2023

Trans Emerging Tel Tech

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“…The classical representation model is used to assume all parametric values at this robotic testing stage, saving the entire production time. The researchers ( Câmara Júnior, Vieira & Vieira, 2020 ) have developed a data gathering algorithm that is used to deliver complete data to sink nodes in order to improve the robotic operation. With such algorithms, only acoustic networks can be formed, and the various latencies present at each node can be reduced by roughly 73 percent by using the technique for data collection.…”

Section: Background and Related Workmentioning

confidence: 99%

Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

Manoharan,

Selvarajan,

Aluvalu

et al. 2023

PeerJ Computer Science

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The process of using robotic technology to examine underwater systems is still a difficult undertaking because the majority of automated activities lack network connectivity. Therefore, the suggested approach finds the main hole in undersea systems and fills it using robotic automation. In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. A cluster node is connected in each clustered region and provides the central control center with the necessary data. The weights are evenly distributed, and the designed robotic system is installed to prevent an uncontrolled operational state. Five different scenarios are used to test and validate the created model, and in each case, the proposed method is found to be superior to the current methodology in terms of range, energy, density, time periods, and total metrics of operation.

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“…In the underwater environment, optical and acoustic communication are the technologies most likely to be considered, however, there is a broad range of topologies and concepts on how best to utilise them. Junior C. et al presented a topology and routing algorithm that utilises nodes equipped with both acoustic and VLC technologies within clustered network to orderly transmit information from source to sink [9]. Hu, T. et al presented a methodology and routing technique where the networks were arranged by clusters, however, only the head of each cluster (the node that has been designated decision maker for the cluster) was permitted to communicate via acoustics [10].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication

Stewart,

Fough,

Prabhu

2023

Artificial Intelligence for Security and Defence Applications

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The Underwater Internet of Things (UIoT) represents an area of research that holds significant interest among scientific, defence, and industrial communities. The automation of subsea applications is a key focus to safeguard assets in this domain. Visible Light Communications (VLC) shows promise in overcoming the constraints inherent in acoustics, particularly in specific environmental conditions. This project proposes the implementation of a Software Defined Network (SDN) capable of wirelessly transmitting video from source to sink, irrespective of local conditions. This is achieved by incorporating a wired optical connection between the source nodes located on the seafloor, thus providing an additional communication option. This wired connection enables the nodes to bypass obstacles such as suspended particulate matter, objects, or excessive ambient noise in the water, which obstruct VLC communications, and instead transmit the data from an alternate location. To determine whether wireless transmission is viable, a fuzzy logic controller/edge routing system assesses the environmental conditions and based on the collected data, selects the most suitable route. Through MATLAB modelling, it has been demonstrated that this SDN has the potential to reliably transmit video and other forms of data while minimizing energy consumption by eliminating the need for an acoustic communication link.

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CAPTAIN: A data collection algorithm for underwater optical-acoustic sensor networks

Cited by 17 publications

References 15 publications

UASN‐3D: An energy efficient localization based on LEACH‐BR algorithm (EELBL‐BR)

UASN‐3D: An energy efficient localization based on LEACH‐BR algorithm (EELBL‐BR)

Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication

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