Underwater acoustic sensor networks: research challenges

By Ian F. Akyildiz, Dario Pompili, Tommaso Melodia. Ad hoc networks, 2005

3,290 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/a3eb9faaae5b31ec012103e87f1f6e1d8a0fd39c

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Ocean Engineering

Citations in the corpus

Emerging Optical Wireless Communications-Advances and Challenges (2015, neutral): “speed [76], [77].”
Design of Secure User Authenticated Key Management Protocol for Generic IoT Networks (2018, background): “climate recording, prediction of natural disaster, searching missions, study of marine life, and tactical surveillance [5], [6].”
Silent Positioning in Underwater Acoustic Sensor Networks (2008, background): “The well-known Global Positioning System (GPS) receivers, which may be used in terrestrial systems to accurately estimate the geographical locations of sensor nodes, do not work properly underwater [7].”
Energy efficiency in wireless sensor networks: A top-down survey (2014, background): “Indeed, acoustic communications for underwater sensors and electromagnetic waves for underground sensors suffer from lower propagation speed, noise and path loss, which lead to the degradation of the signal [45,48].”
Overview of networking protocols for underwater wireless communications (2009, background): “Some of these applications can be supported by underwater acoustic sensor networks (UW- ASNs) [1], which consist of devices with sensing, processing, and communication capabilities that are deployed to perform collaborative monitoring tasks (Fig.”
Fault-Tolerant Relay Node Placement in Heterogeneous Wireless Sensor Networks (2007, methodology): “* Prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011.”
State-of-the-art in protocol research for underwater acoustic sensor networks (2006, background): “by the long time guards required when TDMA is used underwater [3], are limited.”
A Survey on MAC Protocols for Underwater Wireless Sensor Networks (2014, background): “it very difficult to implement a precise synchronization, with a common timing reference, which is required for the TDMA [5].”
Underwater Optical Wireless Communications, Networking, and Localization: A Survey (2018, background): “Noting that FDMA is not suitable for acoustic systems due to the limited bandwidth availability [56], it offers high spectral efficiency and robustness against intersymbol interference (ISI) [148] for optical wireless communications.”
Scalable Localization with Mobility Prediction for Underwater Sensor Networks (2008, background): “Last several years have overseen a rapidly growing interest in underwater sensor networks [1], [6], [9], [12].”
MORA routing and capacity building in disruption-tolerant networks (2008, background): “In underwater acoustic networks [1,26], DTNs are more critical as no ﬁxed infrastructure exists and less than ten expensive autonomous underwater vehicles may roam an area hundreds of km in diameter carrying acoustics transducers that reach only 2–5 km.”
Improving the Robustness of Location-Based Routing for Underwater Sensor Networks (2007, background): “, building underwater sensor networks) to enable/enhance applications such as oceanographic data collection, pollution monitoring, offshore exploration and tactical surveillance applications [9], [8], [2], [4], [3], [7].”
A survey on bio-inspired networking (2010, background): “networking space will include, in addition to the traditional Internet-connected devices, networked entities which are in much closer interaction with us such as wearable networks [4], in-body molecular communication networks [5], unattended ground, air, and underwater sensor networks [6], self-orga”
Consensus-Based Distributed Support Vector Machines (2010, methodology): “If these sensors are acoustic and are deployed to classify underwaterunmanned vehicles, divers or submarines, then low transmission bandwidth and multipath effects further discourage incremental communication of the local data sets to an FC (Akyildiz et al., 2005).”
Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges (2019, background): “Geometric spreading is divided into two types: first spherical spreading that depicts deep ocean communication; second cylindrical spreading that depicts shallow water communication [5, 18].”
Positioning configurations with the lowest GDOP and their classification (2014, methodology): “There have been thousands of GDOP simulations in positioning system performance analysis in GNSS constellation optimization, mobile positioning, indoor positioning and underwater positioning (Akyildiz et al. 2005; Gustafsson and Gunnarsson 2005; Alcocer et al. 2006; Dempster 2006; Sharp et al. 2012)”