Abstract

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.

Highlights

  • Aquaculture is one of the flourishing sectors in the food industry

  • With the Wi-Fi technology, the communications between elements are assured by a Delay Tolerant Network (DTN), where these elements act as relays in a store-carry and forward fashion

  • Each Unmanned Surface Vehicles (USVs)’s LoRa module works according to a MAC protocol for Multi-Gateway in LoRa based on Ready to Send(RTS), Clear To Send (CTS) and Control Clear to Send (CCTS) messages in order to deal with a multi-gateway environment, to ensure that only one of the Data Gateway Station (DTS) is ready to start receiving data packets originated by one of the USV [29]

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Summary

A Platform of Unmanned Surface Vehicle Swarms for

Daniela Sousa 1,2, * , Diego Hernandez 1,2 , Francisco Oliveira 1,2 , Miguel Luís 1. Departamento de Eletrónica, Telecomunicações e Informática, University of Aveiro, 3810-193 Aveiro, Portugal. Received: 16 September 2019; Accepted: 23 October 2019; Published: 29 October 2019

Introduction
Related Work
Aquatic Platform
Functionalities
Prototype Setup
Electronic Setup
Software Architecture
Network Communication System
USVs’ Missions
Data Acquisition and Analysis
Automatic Indirect Data Acquisition
Direct Data Acquisition
Full Deployment
Experiment
Findings
Conclusions
Full Text
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