Viabilizando Técnicas de Gerenciamento Baseadas em Fluxos para LoRaWAN

Abstract

Wireless networks have been widely used for a vast number of IoT (Internet-of-Things) applications such as smart cities. Also, LPWAN (Low Power Wide Area Networking) is a paradigm of IoT network that has been gaining space in the market and that has characteristics of great importance for this type of application, namely the low cost, implementation in large scale and high energy e ciency. Of all the LPWAN technologies available, LoRa has been standing out as it brings a standard that allows the construction of a LPWAN network without the need for an outsourced infrastructure. Also, ow monitoring has become the standard method for monitoring tra c in TCP/IP networks, without an equivalent alternative for use in the LoRaWAN context. Thus, this work presents an adapted approach to the de nition of ows and the modeling process of a system for monitoring this type of network. The solution was validated with tra c data from a real LPWANnetwork, and the results demonstrate the e ectiveness of the proposed approach for managing LoRaWAN networks. Finally, being able to use the concept of ow analysis in a LoRaWAN is signi cant for improving the management of this type of network.