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A Flexible Fog Computing Design for Low-Power Consumption and Low Latency Applications by Markos Losada; Ainhoa Cortés; Andoni Irizar; Javier Cejudo; Alejandro Pérez is a Engineering article available to read on EtoBox.

In this paper, we propose a flexible Fog Computing architecture in which the main features are that it allows us to select among two different communication links (WiFi and LoRa) on the fly and offers a low-power solution, thanks to the applied power management strategies at hardware and firmware level. The proposed Fog Computing architecture is formed by sensor nodes and an Internet of Things (IoT) gateway. In the case of LoRa, we have the choice of implementing the LoRaWAN and Application servers on the cloud or on the IoT gateway, avoiding, in this case, to send data to the Cloud. Additionally, we have presented an specific setup and methodology with the aim of measuring the sensor node's power consumption and making sure there is a fair comparison between the different alternatives among the two selected wireless communication links by varying the duty cycle, the size of the payload, and the Spreading Factor (SF). This research work is in the scope of the STARPORTS Interconnecta Project, where we have deployed two sensor nodes in the offshore platform of PLOCAN, which communicate with the IoT gateway located in the PLOCAN premises. In this case, we have used LoRa communications

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Author
Markos Losada; Ainhoa Cortés; Andoni Irizar; Javier Cejudo; Alejandro Pérez
Publisher
MDPI AG
Published
2020
Language
EN
Field
Engineering (Physical Sciences)