Challenges for efficient communication in underwater acoustic sensor networks

By Ian F. Akyildiz, Dario Pompili, Tommaso Melodia. SIGBED, 2004

691 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/a06ebf6ba99702ee17154233851fd0234c03db3b

How researchers see this paper

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

In Computer Networks and Communications

1. Zhijie Jerry Shi
2. Hai Yan
3. Jun-hong Cui
4. Biswanath Mukherjee
5. Dipak Ghosal
6. Jennifer Yick
7. Yunsi Fei
8. Tiansi Hu

In Electrical and Electronic Engineering

1. Fei Yuan
2. M. Ma
3. Biswanath Mukherjee
4. Wei Su
5. Jun-hong Cui
6. Yunyoung Nam
7. Daniela Rus
8. Dipak Ghosal

In Ocean Engineering

1. Zhijie Jerry Shi
2. Hai Yan
3. Jun-hong Cui
4. Yunsi Fei
5. Tiansi Hu
6. Peng Xie
7. Fei Yuan
8. M. Ma

Citations in the corpus

• Underwater Optical Wireless Communication (2016, background): “Typical bandwidth for different ranges in underwater acoustic links [7]–[10] (‘‘*’’ implies dependence on water type, range, horizontal/slant transmission).”
• Aqua-Sim: An NS-2 based simulator for underwater sensor networks (2009, background): “Recently underwater sensor network has emerged as a powerful technique for aquatic applications, and it has attracted more and more attention from the networking research community [19], [13], [1], [6], [4].”
• Data collection, storage, and retrieval with an underwater sensor network (2005, methodology): “use of robots and sensor networks has been previously mentioned [4, 6, 26].”
• A Survey on MAC Protocols for Underwater Wireless Sensor Networks (2014, methodology): “The underwater acoustic environment poses more severe situation for MAC protocol design compared to MAC design for terrestrial networks [7, 10].”
• Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues (2020, background): “levels of performance, such as UAC [41], [42], optical wireless communication [43], [44], and magnetic induction communication [45]–[47].”
• VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks (2006, background): “Recently, underwater sensor networks have emerged as a very powerful technique for many applications for underwater environment, including monitoring, measurement, surveillance and control [24], [22], [21], [2], [8], [5], [15].”
• DBR: Depth-Based Routing for Underwater Sensor Networks (2008, neutral): “, building underwater sensor networks (UWSNs) [1] [4] [6] [13] [14] [16].”
• Improving the Robustness of Location-Based Routing for Underwater Sensor Networks (2007, background): “1) Sensor Nodes: Similar to terrestrial sensor nodes, underwater sensor nodes are generally powered by batteries [1], [4], [3].”
• Wireless sensor network survey (2008, background): “As opposite to terrestrial WSNs, underwater sensor nodes are more expensive and fewer sensor nodes are deployed.”
• Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges (2019, background): “Vertical acoustic channel is less affected by multipath effect as compared to horizontal acoustic channel [18, 19, 21].”