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Characterization of Aquatic Biofilms with Flow Cytometry
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An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network
Daniela Sousa1,2, Miguel Luís3, Susana Sargento4,5
1Instituto de Telecomunicações, 3810-193 Aveiro, Portugal. dcsousa@ua.pt.
Sensors (Basel, Switzerland)
|October 17, 2018
Summary
This study introduces a low-cost aquatic sensing platform using a swarm of Unmanned Surface Vehicles (USVs) that communicate via a Delay-Tolerant Network (DTN). It ensures reliable data gathering in dynamic maritime environments.
Area of Science:
- Marine robotics
- Networked sensing systems
- Smart maritime environments
Background:
- Smart City concepts are expanding into maritime domains.
- The proliferation of Unmanned Surface Vehicles (USVs) enables new aquatic applications.
Purpose of the Study:
- To propose a low-cost aquatic mobile sensing platform for data gathering.
- To utilize a swarm of USVs communicating via a Delay-Tolerant Network (DTN).
Main Methods:
- Development of a swarm-based USV sensing platform.
- Implementation of Delay-Tolerant Network (DTN) communication protocols.
- Design and evaluation of Link Quality Estimation (LQE) and routing strategies.
- Creation of an aquatic simulation environment for navigation and communication layers.
Main Results:
- A novel low-cost aquatic mobile sensing platform was developed.
- DTN-based routing strategies demonstrated reliable data transmission.
- The proposed Link Quality Estimation (LQE) approach was validated through real-world experiments.
- Simulation results complemented real-world performance studies.
Conclusions:
- The proposed platform offers a cost-effective solution for aquatic data gathering.
- DTN routing strategies enhance data reliability for USV swarms in dynamic maritime settings.
- The integrated simulation and experimental approach validates the system's effectiveness.
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