Focused beam routing protocol for underwater acoustic networks

By Josep Miquel Jornet, Milica Stojanovic, Michele Zorzi. Underwater Networks, 2008

337 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2f57fdd8d79b0deeff780fca966f3d8131d6aa33

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. Azzedine F. M. Boukerche
2. Azween B. Abdullah
3. Imran Baig
4. Ibrahima Faye
5. Muhammad Ayaz
6. Zhijie Jerry Shi
7. Antonio Alfredo Ferreira Loureiro
8. Luiz Filipe Menezes Vieira

In Electrical and Electronic Engineering

1. Azween B. Abdullah
2. Imran Baig
3. Ibrahima Faye
4. Muhammad Ayaz
5. Mohamed-Slim Alouini
6. Tareq Y. Al-Naffouri
7. Melike Erol-Kantarci
8. Luiz Filipe Menezes Vieira

In Ocean Engineering

1. Azween B. Abdullah
2. Imran Baig
3. Ibrahima Faye
4. Muhammad Ayaz
5. Zhijie Jerry Shi
6. Azzedine F. M. Boukerche
7. Antonio Alfredo Ferreira Loureiro
8. Luiz Filipe Menezes Vieira

Citations in the corpus

• A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks (2011, background): “Due to the above challenges, UASNs call for novel medium access, network, transport, localization, synchronization protocols and architectures some of which have been addressed in various studies [4]–[9].”
• Scalable Localization with Mobility Prediction for Underwater Sensor Networks (2008, background): “All these unique features cause grand challenges to the networking issues at almost every layer of the protocol stack [8], [9], [10], [11], [12], [13], [14], [ 15 ], [16], [17], [18], [19], [20].”
• A survey on routing techniques in underwater wireless sensor networks (2011, methodology): “, 2 0 1 0 ) N e t w o r k w i t h s p e c i a l underwater environments like AUVNetsim (The AUVNetsim Simulator) was used in Jornet et al. (2008).”
• Geographic and Opportunistic Routing for Underwater Sensor Networks (2016, background): “However, the knowledge regarding the location of sensor nodes can eliminate the large number of broadcast or multicast queries that leads to unnecessary network flooding that reduces the network throughput [35].”
• Underwater Optical Wireless Communications, Networking, and Localization: A Survey (2018, background): “The flooding phenomena can burden the network therefore, in [212] the authors have proposed a routing protocol based on”
• QELAR: A Machine-Learning-Based Adaptive Routing Protocol for Energy-Efficient and Lifetime-Extended Underwater Sensor Networks (2010, methodology): “Focused Beam Routing (FBR) is presented in [20], which is a cross-later approach and designed for networks containing both static HU AND FEI: QELAR: A MACHINE-LEARNING-BASED ADAPTIVE ROUTING PROTOCOL FOR ENERGY-EFFICIENT AND LIFETIME.”