An overview of channel coding for underwater acoustic communications

Trubuil, J.; Goalic, André; Beuzelin, Nicolas

doi:10.1109/milcom.2012.6415567

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…With the viterbi algorithm, exponential decrease in the error probability with increasing number of code states, S and constraint length, u is its disadvantage. Some research works such as those presented in [14], [15] have utilized CC in underwater acoustic with u-order code implemented by several options. Figure 3 shows the best polynomial, which is arrived at by simulations, and trial and error method [16].…”

Section: Convolution Codementioning

confidence: 99%

A comparative study on channel coding scheme for underwater acoustic communication

Ahmed¹,

Shah

Al‐Aboosi

et al. 2023

Bulletin EEI

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There are various challenges in underwater acoustic communication (UWA) however bit error rate (BER) is considered as the main challenge as it significantly affects the UWA communication. In this paper, different coding schemes such as convolution, turbo, low density parity check (LDPC), and polar coding based on the t-distribution noise channel are investigated, and binary phase-shift keying (BPSK) modulation with a code rate of 1/2 has considered in the evaluation and analyses. The evaluation of these channel coding schemes is performed based on BER, computational complexity as well as latency. The results have shown the outperform of polar coding in UWA over other channel coding schemes as it has lower BER and lower computational complexity.

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Section: Convolution Codementioning

confidence: 99%

A comparative study on channel coding scheme for underwater acoustic communication

Ahmed¹,

Shah

Al‐Aboosi

et al. 2023

Bulletin EEI

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show abstract

“…To explore the efficiency of several common bit-level FEC for different data types (e.g. text, images and speech signal) in UWSNs, [28] tested convolutional codes, RS and Reed-Solomon Block Turbo Codes (RS-BTC) in real underwater conditions. Convolutional codes and RS seem more suitable for speech signal transmission with a short frame length, whereas RS-BTC works better for image transmission on longer frames and with a higher computational load.…”

Section: Reliable Link In Hop-by-hop Uwsn Datamentioning

confidence: 99%

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

Wei

Guo

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

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Reliable data collection techniques, whose aim is to ensure that sensed data are received successfully by a sink, are essential for applications in Underwater Wireless Sensor Networks (UWSNs). However, traditional data collection with Radio Frequency (RF) functions poorly in UWSNs due to peculiar features of underwater. Moreover, acoustic communication creates challenges for the reliability of data collection such as high bit error rate, packet collision and voids in routing. Furthermore, the deployment of Autonomous Underwater Vehicles (AUVs) in some scenarios changed the paradigm of data collection and introduced new issues that affect reliability such as inaccurate navigation and lengthy travel time. Consequently, numerous studies focus on the relative reliability of various currently available data collection in UWSNs. In this paper, we first review the problems specific to UWSNs and their impact on reliable data collection. It is followed by a discussion about characteristics, challenges, and features associated with the design of reliable techniques in UWSNs. Afterward, to provide readers with an overview of reliable data collection techniques in UWSNs, this paper categorizes them according to their ability to enhance reliability at all the key stages of data collection. In this categorization framework, the advantages and disadvantages of each technique have been in-depth discussed. Finally, several possible areas for further research are identified and discussed.

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“…Where Block codes are FEC codes that enable a limited number of errors to be detected and corrected without retransmission. Block codes has been used to improve the performance of a communications system when other means of improvement (such increasing transmitter power or using a stronger modulator) are impractical [26].…”

Section: Reed Solomon Codermentioning

confidence: 99%

Review Article: Multicarrier Communication for Underwater Acoustic Channel

Esmaiel

Jiang

2013

IJCNS

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In past decades, there has been a growing interest in the discussion and study of using underwater acoustic channel as the physical layer for communication systems, ranging from point-to-point communications to underwater multicarrier modulation networks. A series of review papers were already available to provide a history of the development of the field until the end of the last decade. In this paper, we attempt to provide an overview of the key developments, both theoretical and applied, in the particular topics regarding multicarrier communication for underwater acoustic communication such as the channel and Doppler shift estimation, video and image transmission throw multicarrier techniques, etc. This paper also includes acoustic propagation properties in seawater and underwater acoustic channel representation.

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An overview of channel coding for underwater acoustic communications

Cited by 9 publications

References 6 publications

A comparative study on channel coding scheme for underwater acoustic communication

A comparative study on channel coding scheme for underwater acoustic communication

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

Review Article: Multicarrier Communication for Underwater Acoustic Channel

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