On the relationship between capacity and distance in an underwater acoustic communication channel

By Milica Stojanovic. Underwater Networks, 2006

774 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/d3f37d51277db5eb8c6d0c5c345faf40f0fd5ae1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Michele Zorzi
2. John S. Heidemann
3. Melike Erol-Kantarci
4. Hussein T. Mouftah
5. Sema Fatma Oktug
6. John G. Proakis
7. Andreja Radošević
8. Azzedine F. M. Boukerche

In Ocean Engineering

1. Yerramalli Srinivas
2. Urbashi Mitra
3. Michele Zorzi
4. John S. Heidemann
5. Melike Erol-Kantarci
6. Hussein T. Mouftah
7. Sema Fatma Oktug
8. Milica Stojanovic

Citations in the corpus

• Underwater sensor networks: applications, advances and challenges (2012, methodology): “Acoustic communications offer longer ranges, but are constrained by three factors: limited and distance-dependent bandwidth, time-varying multipath propagation, and low speed of sound (Urick, 1983; Stojanovic, 2007).”
• A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability (2021, background): “However, geometries of propagation usually are hybrids of cylindrical and spherical spreading in practice, where k = 1.5 [136].”
• A survey on routing techniques in underwater wireless sensor networks (2011, background): “Severely limited bandwidth leads to low data rates, which again depend on both the communication range and the frequency (Sozer et al., 2000; Stojanovic, 2006).”
• Geographic and Opportunistic Routing for Underwater Sensor Networks (2016, methodology): “Like[8]and [25], we use the following underwater acoustic channel model [26], [27].”
• Optimal Resampling of OFDM Signals for Multiscale–Multilag Underwater Acoustic Channels (2011, background): “2093752 attenuation, highly time-varying frequency-selective channels, and colored ambient noise [17], [23]–[25].”
• Statistical characterization and capacity of shallow water acoustic channels (2009, methodology): “In a recent work [6], an analytical method is proposed which takes into account the physical laws of acoustic propagation and ambient noise.”
• Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues (2020, background): “In addition, the communication rate of the UAC is proportional to the frequency, whereas the communication distance is inversely proportional to the frequency [48].”
• A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks (2011, methodology): “The absorption coefficient is expressed empirically for frequency values above a few hundred Hz as [28]:”