Abstract
The Internet of Things (IoT) is a paradigm that has rapidly evolved in recent years. The ability to connect many devices is driving the development of new types of applications that allow the remote monitoring of a wide variety of devices. One of the great challenges that has been identified in this field is the monitoring of sensors scattered in wide areas or located in environments with poor or even no communications coverage. To deal with this problem, different approaches based on cellular or satellite communications have been considered. However, these alternatives are complex and very expensive. To overcome these drawbacks, we designed a system based on unmanned aerial vehicles and LoRa technology that enables data transfer from sensors to a central system. Furthermore, machine learning techniques were applied to process and classify the data retrieved from the sensors. Finally, a Java-based application was developed, providing services such as data storage, processing, and visualization. To verify the correct operation of the proposed system, manual and autonomous flight tests were carried out, verifying the correct transmission of the data from the sensors to the central system.
Funder
Spanish Ministry of Science, Innovation and Universities
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献