Descarregamento de Tráfego de Redes IoT/Edge por Transmissões de Múltiplos Fluxos

• Celso Ferreira da Silva USP / TecSys do Brasil Industrial
• Simone Ferlin Ericsson AB
• Bruno Yuji Lino Kimura USP

DOI: https://doi.org/10.5753/sbrc_estendido.2021.17162

Abstract

The concept of a fully connected world in the fifth generation (5G) technology provides for the massive implementation of small and restricted Internet of Things (IoT) devices. In these IoT environments, such as Machine-toMachine (M2M) communications are essential to allow devices (for example, sensors, actuators, smart meters/monitors) to collect data for a remote server. In this dissertation, we investigate this scenario to propose, implement and validate a new architecture for IoT infrastructures, more efficient, by downloading data through multipath transmissions on the Internet. The experimental results of the traffic emitted by CoAP indicate that our proposed system, together with the benefits of MPTCP, improve the performance of IoT applications. More specifically, offloading M2M data traffic based on multiple paths increases throughput and reduces the latency of CoAP requests as the number of sensor networks increases.

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