Modeling and Analysis of Hybrid ARQ Scheme for Incremental Cooperative Communication in Underwater Acoustic Sensor Networks

Goutham, V.; Harigovindan, V. P.

doi:10.1007/s40998-020-00348-y

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…Goutham, V., et al [5] • HARQ method • It improves the efficiency of energy • Need to design a reliable and topology independent protocols P. Sathya, & P. Sengottuvelan [6] • CSOA-EQ • It utilizes least amount of energy.…”

Section: Author [Citation] Methodology Features Challengesmentioning

confidence: 99%

“…In 2021, Goutham, V., et al [ 5 ] developed a hybrid ARQ method for incremental cooperative communication in UASN. At the time of transmitting the packet, the suggested method employed the neighbourhood sensor nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Though the author attained low complexity system with high efficiency using the DL-HDBT [ 4 ] based mechanism, still concerning the packet loss ratio is a challenging issue. Using paper [ 5 ], the author improved the efficiency of energy but designing a reliable and topology independent protocols are still a difficult problem. In paper [ 6 ], the author presented a novel energy efficient approach with quality of service aware based on routing with utilizing underwater wireless sensor networks and it utilized least amount of energy with enhanced network dependability.…”

Section: Introductionmentioning

confidence: 99%

“…Typically, packets over several short hops are preferred when compared to lengthy hops owing to energy optimization. This is because earlier research has shown that multi-hop data deliveries are ideal in terms of power consumption for underwater systems [5]. One of the most popular techniques for developing future sensor approaches and sea perception networks is wireless data transfer in ocean waters [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction

Kaveripakam,

Chinthaginjala

2023

PLoS ONE

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The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel’s time-varying and space-varying features. As a result, the underwater acoustic communication system faces the problems of reducing interference and enhancing communication effectiveness and quality through adaptive modulation. To overcome this issue, this paper intends to propose a model for optimal path selection and secured data transmission in UASN via Long Short-Term Memory (LSTM) based energy prediction. The proposed model of transmitting the secured data in UASN through the optimal path involves two major phases. Initially, the nodes are selected under the consideration of constraints like energy, distance and link quality in terms of throughput. Moreover, the energy is predicted with the aid of LSTM and the optimal path is selected with the proposed hybrid optimization algorithm termed as Pelican Updated Chimp Optimization Algorithm (PUCOA), which is the combination of two algorithms including the Pelican Optimization Algorithm (POA) and Chimp Optimization Algorithm (COA). Further, the data is transmitted via the optimal path securely by encrypting the data with the proposed improved blowfish algorithm (IBFA). At last, the developed LSTM+PUCOA model is validated with standard benchmark models and it proves that the performance of the proposed LSTM+PUCOA model attains 90.85% of accuracy, 92.78% of precision, 91.78% of specificity, 89.79% of sensitivity, 7.21% of FPR, 89.76% of F1 score, 89.77% of MCC, 10.20% of FNR, 92.45% of NPV, and 10.22% of FDR for Learning percentage 70.

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Section: Author [Citation] Methodology Features Challengesmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%