Fundamentals of Ocean Acoustics

Brekhovskikh, Leonid M.; Lysanov, Yury P.

doi:10.1007/978-3-662-02342-6

Cited by 686 publications

(426 citation statements)

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“…The vertical link is used by the uw-sinks to relay data to a surface station.. The surface station is equipped with an acoustic transceiver that is able to handle multiple parallel communications with the deployed uwsinks [12].…”

Section: Communication Architecturementioning

confidence: 99%

A Survey on Underwater Wireless Sensor Networks: Progresses, Applications, and Challenges

Premalatha

Prathap²

2016

MATEC Web of Conferences

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Abstract. The endangered underwater species always drew the attention of the scientific society since their disappearance would cause irreplaceable loss. Asia is home to some of the most diverse habitats in the earth, but it is estimated that more than one in four species are endangered. In Underwater, a lot of factors are putting marine life under immense pressure. Extreme population pressure is leading to pollution, over-fishing and the devastation of crucial habitats. Consequently, the numbers of almost all fish are declining and many are already endangered. To help these species to survive, their habitat should be strictly protected. This can be achieved by strictly monitoring them. During this course, several parameters, constraints about the species and its environments are focused. Now, advances in sensor technology facilitate the monitoring of species and their habitat with less expenditure. Indeed, the increasing sophistication of underwater wireless sensors offers chances that enable new challenges in a lot of areas, like surveillance one. This paper endorses the use of sensors for monitoring underwater species endangered in their habitat. This paper further examines the key approaches and challenges in the design and implementation of underwater wireless sensor networks. We summarize major applications and the main phenomena related to acoustic propagation, and discuss how they affect the design and operation of communication systems and networking protocols at various layers.

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Section: Communication Architecturementioning

confidence: 99%

A Survey on Underwater Wireless Sensor Networks: Progresses, Applications, and Challenges

Premalatha

Prathap²

2016

MATEC Web of Conferences

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“…In addition to the log-normal link gain model justified in the prequel, we adopt a previously employed [3], [15] colored noise model that incorporates multiple environmental factors, including wind, shipping activity, thermal noise, and turbulence [25]. We assume a block log-normal fading model for SNR with instantaneous SNR being constant over the duration of one block.…”

Section: Packet Error Approximationsmentioning

confidence: 99%

“…ACOUSTIC COMMUNICATION We now discuss the acoustic communication model that we utilize to improve path planning for the AUV in the data collection scenario. Acoustic propagation is characterized by energy spreading and absorption that occur in an unobstructed medium over a single propagation path, as well as by additional distortions caused by multipath propagation (i.e., surface-bottom reflections and refraction due to sound speed variation with depth [25]). …”

mentioning

confidence: 99%

Underwater Data Collection Using Robotic Sensor Networks

Hollinger

Choudhary

Qarabaqi

et al. 2012

IEEE J. Select. Areas Commun.

168

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Abstract-We examine the problem of utilizing an autonomous underwater vehicle (AUV) to collect data from an underwater sensor network. The sensors in the network are equipped with acoustic modems that provide noisy, range-limited communication. The AUV must plan a path that maximizes the information collected while minimizing travel time or fuel expenditure. We propose AUV path planning methods that extend algorithms for variants of the Traveling Salesperson Problem (TSP). While executing a path, the AUV can improve performance by communicating with multiple nodes in the network at once. Such multinode communication requires a scheduling protocol that is robust to channel variations and interference. To this end, we examine two multiple access protocols for the underwater data collection scenario, one based on deterministic access and another based on random access. We compare the proposed algorithms to baseline strategies through simulated experiments that utilize models derived from experimental test data. Our results demonstrate that properly designed communication models and scheduling protocols are essential for choosing the appropriate path planning algorithms for data collection.

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“…Note that existing models of wireless networks typically correspond to the case for which a( f ) = 1 (or a positive constant independent of n) and α > 2. 5 A common empirical model gives a( f ) in dB/km for f in kHz as [16,32]:…”

Section: System and Channel Modelsmentioning

confidence: 99%

On the Effects of Frequency Scaling Over Capacity Scaling in Underwater Networks—Part I: Extended Network Model

ShinWon-Yong¹,

LucaniDaniel²,

MédardMuriel³

et al. 2012

Wireless Pers Commun

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In this two-part paper, information-theoretic capacity scaling laws are analyzed in an underwater acoustic network with n regularly located nodes on a square, in which both bandwidth and received signal power can be limited significantly. Parts I and II deal with an extended network of unit node density and a dense network of unit area, respectively. In both cases, a narrow-band model is assumed where the carrier frequency is allowed to scale as a function of n, which is shown to be crucial for achieving the order optimality in multi-hop (MH) mechanisms. We first characterize an attenuation parameter that depends on the frequency scaling as well as the transmission distance. Upper and lower bounds on the capacity scaling are then derived. In Part I, we show that the upper bound on capacity for extended networks is inversely proportional to the attenuation parameter, thus resulting in a highly power-limited network. Interestingly, it is shown that the upper bound is intrinsically related to the attenuation parameter but not the spreading factor. propose an achievable communication scheme based on the nearest-neighbor MH transmission, which is suitable due to the low propagation speed of acoustic channel, and show that it is order-optimal for all operating regimes of extended networks. Finally, these scaling results are extended to the case of random node deployments providing fundamental limits to more complex scenarios of extended underwater networks.

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Fundamentals of Ocean Acoustics

Cited by 686 publications

References 0 publications

A Survey on Underwater Wireless Sensor Networks: Progresses, Applications, and Challenges

A Survey on Underwater Wireless Sensor Networks: Progresses, Applications, and Challenges

Underwater Data Collection Using Robotic Sensor Networks

On the Effects of Frequency Scaling Over Capacity Scaling in Underwater Networks—Part I: Extended Network Model

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