DBR: Depth-Based Routing for Underwater Sensor Networks

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How researchers see this paper

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

Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges (2019, methodology): “In Figure 6(a), it is shown that DBR are only depthbased routing protocol andwhile calculated costs considering different routing metrics are ERP2R and EEF.”
A survey on routing techniques in underwater wireless sensor networks (2011, methodology): “For underwater sensor networks, many techniques like Yan et al. (2008) and Ayaz and Abdullah (2009) have been proposed in order to solve this problem as they suggest multiple sinks on surface.”
Geographic and Opportunistic Routing for Underwater Sensor Networks (2016, methodology): “Like [7] and [9], we consider that if a packet arrives at any sono-buoy, it can be delivered to the monitoring center.”
QELAR: A Machine-Learning-Based Adaptive Routing Protocol for Energy-Efficient and Lifetime-Extended Underwater Sensor Networks (2010, background): “1536-1233/10/$26.00 2010 IEEE Published by the IEEE CS, CASS, ComSoc, IES, & SPS the paper, the time when the first sensor node dies and the time when the network gets partitioned.”
Aqua-Sim: An NS-2 based simulator for underwater sensor networks (2009, methodology): “In DBR, once a packet is received, a node first gets the depth information of the packet’s previous hop node which has been recorded in the packet.”