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Performance Prediction of Underwater Acoustic Communications Based on Channel Impulse Responses

APPLIED SCIENCES-BASEL (2022)

Energy-Efficient Collision Avoidance MAC Protocols for Underwater Sensor Networks: Survey and Challenges

Faisal Abdulaziz Alfouzan

Summary: The design of MAC protocols in underwater sensor networks faces challenges like long underwater acoustic propagation delay, high mobility, low available bandwidth, and high error probability. Contention-based MAC protocols are more expensive in UWSNs due to unique acoustic channel characteristics. Effective management of re-transmissions and collisions at the MAC layer is crucial for reducing energy consumption and improving network throughput.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)

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Article Engineering, Electrical & Electronic

A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise

Jingjing Wang et al.

Summary: A new underwater acoustic noise model and a novel underwater acoustic signal denoising algorithm AWMF+GDES were proposed in this study, combining symmetric alpha-stable distribution with normal distribution and utilizing adaptive window median filter and enhanced wavelet threshold optimization algorithm. The proposed algorithm showed higher output signal-to-noise ratio, noise suppression ratio, and lower root mean square error compared to existing algorithms in both numerical simulations and experimental results.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

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Article Computer Science, Artificial Intelligence

End-to-end environmental sound classification using a 1D convolutional neural network

Sajjad Abdoli et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

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Article Computer Science, Information Systems

Reinforcement Learning-Based Adaptive Transmission in Time-Varying Underwater Acoustic Channels

Chaofeng Wang et al.

IEEE ACCESS (2018)

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Article Multidisciplinary Sciences

Underwater sensor networks: applications, advances and challenges

John Heidemann et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2012)

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Article Environmental Sciences

Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance

CJ Willmott et al.

CLIMATE RESEARCH (2005)

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Performance Prediction of Underwater Acoustic Communications Based on Channel Impulse Responses

相关参考文献

Energy-Efficient Collision Avoidance MAC Protocols for Underwater Sensor Networks: Survey and Challenges

A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise

End-to-end environmental sound classification using a 1D convolutional neural network

Reinforcement Learning-Based Adaptive Transmission in Time-Varying Underwater Acoustic Channels

Underwater sensor networks: applications, advances and challenges

Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance

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