2022-04-062022-04-062019Fernández, A.M., Gutiérrez Avilés, D., Troncoso, A. y Martínez Álvarez, F. (2019). Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. En SOCO 2019: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (91-100), Sevilla, España: Springer.978-3-030-20054-12194-5357https://hdl.handle.net/11441/131804The currently burst of the Internet of Things (IoT) tech-nologies implies the emergence of new lines of investigation regarding not only to hardware and protocols but also to new methods of pro-duced data analysis satisfying the IoT environment constraints: a real-time and a big data approach. The Real-time restriction is about the continuous generation of data provided by the endpoints connected to an IoT network; due to the connection and scaling capabilities of an IoT network, the amount of data to process is so high that Big data tech-niques become essential. In this article, we present a system consisting of two main modules. In one hand, the infrastructure, a complete LoRa based network designed, tested and deployment in the Pablo de Olavide University and, on the other side, the analytics, a big data streaming sys-tem that processes the inputs produced by the network to obtain useful, valid and hidden information.application/pdf10engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/IoTLoRaWANReal-timeBig DataData streaminginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1007/978-3-030-20055-8_9