Flexible unmanned surface vehicles enabling future internet experimentally-driven research

Ferreira, Bruno M.; Coelho, André; Lopes, Mário; Matos, Aníbal; Goncalves, Carlos; Kandasamy, Saravanan; Campos, Rui; Barbosa, Jorge G.

doi:10.1109/oceanse.2017.8084934

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…In order to improve the efficiency of the data sent, this platform can perform data fusion. In Reference [12], FLEXUS is presented, an affordable USVs’ swarm for water monitoring, imaging and air monitoring. This platform uses multiple Wi-Fi technologies (2.4 GHz and 5 GHz).…”

Section: Related Workmentioning

confidence: 99%

A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments

Sousa

Hernández

Oliveira

et al. 2019

Sensors

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The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time communication and processing network. The complete monitoring platform consists of environmental sensors equipped in a swarm of mobile Unmanned Surface Vehicles (USVs) and Buoys, capable of collecting aquatic and outside information, and sending it to a central station where it will be stored and processed. The sensing platform, formed by the USVs and Buoys, are equipped with multi-communication technology: IEEE 802.11n (Wi-Fi) and Bluetooth for short range communication, for mission delegation and the transmission of data collection, and LoRa for periodic report. On the back-end side, supported by FIWARE technology, an interactive web-based platform can be used to define sensing missions and for data visualization. Results on the sensing platform lifetime, mission control and delay processing time are presented to assess the performance of the aquatic monitoring system.

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Section: Related Workmentioning

confidence: 99%

A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments

Sousa

Hernández

Oliveira

et al. 2019

Sensors

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“…The communications nodes consist of a Base Station (BS) and one USV developed in the context of the FLEXUS 1 project [13]. The BS (Figure 1) is a static node that acts as a gateway to the Internet; the USV (Figure 2) is a catamaran with 0.90 m of length and 0.65 m of height; Both the USV and BS are equipped with two Network Interface Cards (NICs) operating at 2.4 GHz and 5.8 GHz bands, and four omnidirectional antennas, two for each band, as illustrated in Figure 2, in order to take advantage of the IEEE 802.11n spatial diversity technique.…”

Section: A Communications Nodesmentioning

confidence: 99%

Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications

Coelho

Lopes

Ferreira

et al. 2018

2018 Wireless Days (WD)

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The blue economy potential is envisioned to increase the activity at the ocean worldwide in the coming years. To support these activities and the convergence to the Internet of Moving Things, Unmanned Surface Vehicles (USVs) are considered viable platforms to enable a large number of missions, including border surveillance and environmental monitoring. Typically, USVs use Wi-Fi for communicating with shore. However, in the literature, there is a lack of studies characterizing the shore-to-USV Wi-Fi link. This paper studies the influence of distance and USV orientation on the shore-to-USV link quality at the 2.4 GHz and 5.8 GHz Industrial, Scientific, and Medical (ISM) bands. The study is supported by experimental results, collected during sea trials. For the 2.4 GHz band, we conclude that neither the Two-Ray propagation model nor the Friis propagation model allow a good fit to the experimental measurements. On the other hand, for the 5 GHz band, the Friis propagation model fits the obtained experimental results.

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Self-adaptive Team of Aquatic Drones with a Communication Network for Aquaculture

Sousa

Sargento

Pereira

et al. 2019

Progress in Artificial Intelligence

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Flexible unmanned surface vehicles enabling future internet experimentally-driven research

Cited by 4 publications

References 8 publications

A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments

A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments

Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications

Self-adaptive Team of Aquatic Drones with a Communication Network for Aquaculture

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