Acoustic Communication

Stojanovic, Milica; Beaujean, Pierre‐Philippe

doi:10.1007/978-3-319-16649-0_15

Cited by 75 publications

(55 citation statements)

References 39 publications

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“…Each manufacturer has developed proprietary schemes for their modems, and hence, modems developed by a manufacturer are not able to communicate with modems developed by other manufacturers. In addition, current modems include sophisticated Media Access Control (MAC) and routing protocols, and this exacerbates the problem existing in the physical layer . Therefore, de facto standards for modulation, coding, and other protocols must be developed to achieve interoperability.…”

Section: Discussion and Open Research Issuesmentioning

confidence: 99%

A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

Tuna

Güngör

2017

Int J Communication

138

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Summary In recent years, wireless sensor networks (WSNs) have attracted the attention of both the research community and the industry, and this has eventually lead to the widespread use of WSNs in various applications. The significant advancements in WSNs and the advantages brought by WSNs have also enabled the rapid development of underwater acoustic sensor networks (UASNs). In UASNs, in addition to deployment, determining the locations of underwater sensor nodes after they have been deployed is important since it plays a critical role in many applications. Various localization techniques have been proposed for UASNs, and each one is suitable for specific scenarios and has unique challenges. In this paper, after presenting an overview of potential UASN applications, a survey of the deployment techniques and localization algorithms for UASNs has been presented based on their major advantages and disadvantages. Finally, research challenges and open research issues of UASNs have been discussed to provide an insight into future research opportunities.

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Section: Discussion and Open Research Issuesmentioning

confidence: 99%

A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

Tuna

Güngör

2017

Int J Communication

138

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“…After the interleaver, n preamble bits, that is, {p 0 , p 1 , · · · , p n−1 } are input for synchronous acquisition. The Data bit string D with N T = (n + N) bits, which is configured by the input of {p 0 , p 1 , · · · , p n−1 }, can be expressed by Equation (1).…”

Section: Transmitter and Receiver Structure Of The Multi-band Underwamentioning

confidence: 99%

“…Nowadays, underwater acoustic is considered to be one of the most challenging environments for data communications, such as control of autonomous underwater vehicles (AUV), and undersea command and control. The performance of UWAS (Underwater Wireless Acoustic Sensor) communication depends on factors such as propagation loss (according to the distance of acoustic signals), interference signal (caused by multi-path propagation), background noise, and Doppler effects (which are related to moving sound sources or sea surface roughness) [1][2][3]. Additionally, the increase in propagation distance decreases the bandwidth, which results in lower efficiency of data propagation.…”

Section: Introductionmentioning

confidence: 99%

A Weighted Turbo Equalized Multi-Band Underwater Wireless Acoustic Communications

et al. 2018

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The multi-band UWAS (Underwater Wireless Acoustic Sensor) communication techniques are effective in terms of performance and throughput efficiency because they can overcome selective frequency fading by allocating the same data to different frequency bands, in an environment of rapidly changing channel transfer characteristic. However, the multi-band configuration may have a performance worse than the single-band one because performance degradation in one particular band affects the output from all the other bands. This problem can be solved by using a receiving end that analyzes the error rates of each band, sets threshold values and allocates the lower weights to the inferior bands. There are many methods of setting threshold values. In this paper, we proposed an algorithm to set the threshold value by using the preamble error rates, which are known data that have to be transmitted and received. In addition, we have analyzed the efficiency of multi-band transmission scheme in the UWAS communication by applying 1~4 number of multi-bands, using turbo pi codes, with a coding rate of 1/3. We evaluated the performance of the proposed multi-bands transmission model in real underwater environments. Experimental results showed that the performance increased as the number of multiple bands increased. Furthermore, the performance of multi-band was improved when the proposed threshold algorithm was applied.overcomes the frequency-selective fading that occurs due to the underwater multi-path and the Doppler spread [9][10][11]. In other words, the multi-band communication technology overcomes various problems of underwater channel environments and extends the propagation distances, thereby, improving both the performance and the propagation efficiency. However, as long-distance communications use a narrow frequency band, the multi-band communication is based on a limited range of available frequencies. For military submarine applications, UWAS systems are required to remain undetected, be highly reliable, and require long-range communication. The goal of the multi-band underwater communication is to successfully transmit data in various underwater channel environments and extended propagation distances.The research project of EUROPA "UUV Covert Acoustic Communications" tested, at a sea trial, using eight sub-bands with turbo coding techniques, at a data rate of 75 bps, had a range of up to 50 km [12]. In the multi-band transmission and reception structure of the reference [12], the turbo coded 5670 bits of each band and the preamble 2880 bits were divided into 45 and then the divided preamble bits and coded bits were sequentially arranged to form a single packet, which was iteratively propagated to each band. However, the multi-band configuration may have worse performance than the single-band one. It is because the performance degradation in a particular band affects the output from the entire bands, which is input into an encoder, thereby decreasing the overall performance. This problem can be solved through a receiving e...

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“…To implement channel randomization in practice, one possible solution is to leverage recent results in under water acoustic communication [16] .…”

Section: Channel Randomizationmentioning

confidence: 99%

“…[16] shows that due to multi-path effect, even small motion of the transmitter and receiver can create large variation in the acoustic channel. Thus, we could place the transmitter and receiver both on a rotating frame, and randomly change the relative location of both transmitter and receiver to randomize the signal.…”

Section: Channel Randomizationmentioning

confidence: 99%

Securing acoustics-based short-range communication systems: an overview

Chen

Qin

Xing

et al. 2016

J. Commun. Inf. Netw.

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Abstract:Mobile devices such as smartphones and tablets have continued to grow in recent years. Nowadays, people rely on these ubiquitous smart devices and carry them everywhere in their daily lives. Acoustic signal, as a simple and prevalent transmitting vector for end-to-end communication, shows unique characteristics comparing with another popular communication method, i.e., optical signal, especially on the applications performed over smart devices. Acoustic signal does not require line-RIVLJKW ZKHQ WUDQVPLVVLRQ WKH FRPSXWDWLRQDO SRZHU RI PRVW VPDUW GHYLFHV DUH VXI¿FLHQW WR PRGXODWHGHPRGXODWH DFRXVWLF signal using software acoustic modem only, which can be easily deployed on current off-the-shelf smart devices. Therefore, many acoustics-based short range communication systems have been developed and are used in sensitive applications such as building access control and mobile payment system. However, past work shows that an acoustic eavesdropper snooping on the communication between a transmitter and its legitimate receiver can easily break their communication protocol and decode the transmitted information. To solve this problem, many solutions have been proposed to protect the acoustic signal against eavesdroppers. In this overview, we explore the designs of existing solutions, the corresponding implementations, and their methodologies to protect acoustic signal communication. For each dependable and secure acoustics-based short range communication system, we present the major technical hurdles to be overcome, the state-of-the-art, and also offer a vision of the future research issues on this promising technology.

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Acoustic Communication

Cited by 75 publications

References 39 publications

A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

A Weighted Turbo Equalized Multi-Band Underwater Wireless Acoustic Communications

Securing acoustics-based short-range communication systems: an overview

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