Related Concept Videos
Short-distance Transport of Resources
Network Function of a Circuit
Buoyancy and Stability for Submerged and Floating Bodies
Uniform Depth Channel Flow
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
A Secure Data Aggregation Algorithm Based on a Trust Mechanism.
An Adaptive Trust Evaluation Model for Detecting Abnormal Nodes in Underwater Acoustic Sensor Networks.
RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.
Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.
Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.
Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.
Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.
Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.
Related Experiment Video
Updated: Apr 29, 2026

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
Published on: October 31, 2011
Routing Protocol for Underwater Wireless Sensor Networks Based on a Trust Model and Void-Avoided Algorithm.
1Key Laboratory of Internet Information Retrieval of Hainan Province, School of Cyberspace Security, Hainan University, 58 Renmin Avenue, Haikou 570228, China.
This study introduces a new routing scheme for underwater wireless sensor networks. It effectively detects malicious nodes and optimizes data transmission, improving network performance and reducing energy consumption.
More Related Videos
Area of Science:
- Marine technology
- Network security
- Sensor networks
Background:
- Underwater wireless sensor networks (UWSNs) face limitations like resource constraints, channel issues, and security threats.
- Complex underwater environments pose significant challenges for reliable data transmission and network management.
Purpose of the Study:
- To propose a novel routing scheme for UWSNs that enhances security and efficiency.
- To address challenges posed by malicious nodes and network voids in underwater environments.
Main Methods:
- Developed a trust model evaluating nodes based on direct, indirect, and environmental trust.
- Incorporated a Void-Avoided algorithm with two-hop availability checking for path selection.
- Prioritized minimizing total cabling distance, energy consumption, and latency.
Main Results:
- The proposed scheme effectively detects malicious nodes through anomalous behavior analysis.
- Achieved superior performance in malicious node detection rate compared to existing methods.
- Demonstrated significant improvements in energy consumption and end-to-end latency.
Conclusions:
- The integrated trust model and Void-Avoided algorithm provide a robust solution for UWSN routing.
- The scheme enhances network security and optimizes data transmission efficiency in challenging underwater settings.
- Offers a promising approach for reliable ocean exploration and environment monitoring applications.

