Performance Analysis of LoRaWAN in Industrial Scenarios
| Autor: | Lorenzo Vangelista, Michele Zorzi, Davide Magrin, Martina Capuzzo, Andrea Zanella |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Sensors
Computer science Network packet Distributed computing 020208 electrical & electronic engineering Bandwidth (signal processing) Physical layer Network servers 02 engineering and technology Plan (drawing) Channel models Bandwidth Europe Frequency modulation Performance evaluation Robustness Computer Science Applications Control and Systems Engineering Robustness (computer science) Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Information Systems Communication channel |
| Zdroj: | IEEE Transactions on Industrial Informatics. 17:6241-6250 |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | In this article, we evaluate the performance of a LoRaWAN network in industrial scenarios where different Industrial Internet of Things (IIoT) end nodes communicate to a central controller in order to provide monitoring and sensing information to optimize the efficiency of industrial processes and reduce costs. In particular, we consider confirmed and unconfirmed traffic, multigateway deployments, the usage of different classes of devices, and a nonstandard channel plan. Furthermore, we analyze the higher-layer impact of different models of LoRa PHY layer with industrial channel models. We show that, with proper configuration, LoRaWAN is able to serve IIoT sensing applications with a packet success rate over 90%, providing at the same time limited communication delays. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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