Underwater Acoustic Systems

Coates, R.

doi:10.1007/978-1-349-20508-0

Cited by 167 publications

(116 citation statements)

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“…The noise is limited to four common sources: water turbulence N t , surface-ship N s , thermal noise N th , and breaking waves N w . Those sources can be described using Gaussian statistics and power spectral density (PSD) in dB re µ per Hz as follows [7],…”

Section: B Acoustic Communication Characteristicsmentioning

confidence: 99%

Optimal Node Placement in Underwater Wireless Sensor Networks

Felamban¹,

Shihada

Jamshaid

2013

2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)

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Section: B Acoustic Communication Characteristicsmentioning

confidence: 99%

Optimal Node Placement in Underwater Wireless Sensor Networks

Felamban¹,

Shihada

Jamshaid

2013

2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)

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“…We assume that n i is the circularly symmetric complex additive colored Gaussian noise with zero mean and power spectral density (PSD) N ( f ), and thus the noise is frequency-dependent. The overall PSD of four sources decays linearly on the logarithmic scale in the frequency region 100 Hz-100 kHz, which is the operating region used by the majority of acoustic systems, and thus is approximately given by [16,33] log…”

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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“…The frequency-dependent attenuation significantly limits the maximum usable frequency and thus the available communication bandwidth [43]. MIMO transmissions is thus an ideal way to increase data rates for underwater acoustic communications, in which independent data streams can be sent out in parallel by multiple transmit elements in the same frequency band.…”

Section: Multiplexing and Diversity Tradeoffmentioning

confidence: 99%

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Kuo

Melodia

2011

IEEE Trans. Wireless Commun.

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Abstract-The requirements of multimedia underwater monitoring applications with heterogeneous traffic demands in terms of bandwidth and end-to-end reliability are considered in this article. To address these requirements, a new medium access control protocol named UMIMO-MAC is proposed. UMIMO-MAC is designed to i) adaptively leverage the tradeoff between multiplexing and diversity gain according to channel conditions and application requirements, ii) select suitable transmit power to reduce energy consumption, and iii) efficiently exploit the UW channel, minimizing the impact of the long propagation delay on the channel utilization efficiency.To achieve the objectives above, UMIMO-MAC is based on a two-way handshake protocol. Multiple access by simultaneous and co-located transmissions is achieved by using different pseudo-orthogonal spreading codes. An algorithm is proposed that, in a cross-layer fashion, jointly selects optimal transmit power and transmission mode through the cooperation of transmitter and receiver to achieve the desired level of reliability and data rate according to application needs and channel condition. Extensive simulation results show that UMIMO-MAC increases network throughput, decreases channel access delay, and decrease energy consumption compared with existing MAC protocols for UW-ASNs.Index Terms-Underwater acoustic sensor networks, Medium access control, Multiple input multiple output.

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Underwater Acoustic Systems

Cited by 167 publications

References 0 publications

Optimal Node Placement in Underwater Wireless Sensor Networks

Optimal Node Placement in Underwater Wireless Sensor Networks

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

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

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