Robust Downlink Mechanism for Industrial Internet of Things Using LoRaWAN Networks
| Autor: | Javier Silvestre-Blanes, David Todoli-Ferrandis, Víctor Sempere-Payá |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
ADR
TK7800-8360 Computer Networks and Communications Computer science Industrial scenarios Throughput 02 engineering and technology computer.software_genre 01 natural sciences Robustness (computer science) Telecommunications link 0202 electrical engineering electronic engineering information engineering Wireless Electrical and Electronic Engineering Lorawan business.industry 010401 analytical chemistry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications Energy consumption INGENIERIA TELEMATICA 0104 chemical sciences Simulation software ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES Hardware and Architecture Control and Systems Engineering Signal Processing Scalability Electronics business computer Communication channel Computer network |
| Zdroj: | Electronics Volume 10 Issue 17 RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Electronics, Vol 10, Iss 2122, p 2122 (2021) |
| Popis: | [EN] The adoption of LoRaWAN as a technology for wireless deployments in many applications, such as smart cities or industry 4.0, still presents challenges such as energy consumption, robustness, or reduced throughput in harsh, noisy scenarios. Class B is a MAC mode that allows better performance in downlink traffic but has difficulties regarding scalability and its response to channel interference. This article introduces, via simulation software, the possibility of testing deployments, adding interference sources that model industrial scenarios, and proposes an adaptive data rate (ADR) mechanism to enhance the operation for downlink and class B devices, called DROB (downlink rate optimization for class B) to study the impact of these conditions in a network with detailed event characterization. The research leading to these results received funding from the Horizon 2020 Program of the European Commission under Grant Agreement No. 825631 "Zero Defect Manufacturing Platform (ZDMP)". It was also partially supported by the MCyU (Spanish Ministry of Science and Universities) under the project ATLAS (PGC2018-094151-B-I00). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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