Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios

Autor: Ana Planes-Martínez, David Todoli-Ferrandis, Víctor Sempere-Payá, Javier Silvestre-Blanes
Jazyk: angličtina
Rok vydání: 2020
Předmět:
LPWAN
IoT
Computer science
Distributed computing
02 engineering and technology
Data rate
lcsh:Technology
01 natural sciences
7. Clean energy
lcsh:Chemistry
Packet loss
Robustness (computer science)
Telecommunications link
0202 electrical engineering
electronic engineering
information engineering
Wireless
General Materials Science
Adaptive data rate
lcsh:QH301-705.5
Instrumentation
Fluid Flow and Transfer Processes
Ns-3
lcsh:T
business.industry
Process Chemistry and Technology
010401 analytical chemistry
General Engineering
020206 networking & telecommunications
Energy consumption
INGENIERIA TELEMATICA
lcsh:QC1-999
0104 chemical sciences
Computer Science Applications
LoRaWAN
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
Energy (signal processing)
Zdroj: Applied Sciences
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Volume 10
Issue 22
Applied Sciences, Vol 10, Iss 7964, p 7964 (2020)
Popis: [EN] Low-power wide-area network (LPWAN) technologies are becoming a widespread solution for wireless deployments in many applications, such as smart cities or Industry 4.0. However, there are still challenges to be addressed, such as energy consumption and robustness. To characterize and optimize these types of networks, the authors have developed an optimized use of the adaptative data rate (ADR) mechanism for uplink, proposed its use also for downlink based on the simulator ns-3, and then defined an industrial scenario to test and validate the proposed solution in terms of packet loss and energy.
The research leading to these results received funding from the Horizon 2020 Programme 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
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