Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Javier Silvestre Blanes"'
Publikováno v:
IEEE Access, Vol 12, Pp 19887-19901 (2024)
The introduction of the Factory of the Future has revolutionised the manufacturing sector through the integration of various technologies such as Automated Guided Vehicles (AGVs), Artificial Intelligence (AI), the Industrial Internet of Things (IIoT)
Externí odkaz:
https://doaj.org/article/3ecd2a2c3c3f4808a80c22db7fee436a
Autor:
David Todoli-Ferrandis, Javier Silvestre-Blanes, Víctor Sempere-Payá, Salvador Santonja-Climent
Publikováno v:
Future Internet, Vol 16, Iss 4, p 130 (2024)
LoRaWAN is a low-power wide-area network (LPWAN) technology that is well suited for industrial IoT (IIoT) applications. One of the challenges of using LoRaWAN for IIoT is the need to collect data from a large number of devices. Polling is a common wa
Externí odkaz:
https://doaj.org/article/7512fa34fa8d4344947a6d90e461f8f0
Autor:
David Todoli-Ferrandis, Javier Silvestre-Blanes, Victor Sempere-Paya, Salvador Santonja-Climent
Publikováno v:
IEEE Access, Vol 11, Pp 83627-83638 (2023)
Low-power wide-area networks (LPWAN) are commonly used because they meet the requirements of Internet-of-Things (IoT) networks with a large number of end devices, such as high network scalability, wide area coverage, low data rates, and delay toleran
Externí odkaz:
https://doaj.org/article/488a07ed25934d0eb56610c19e4204f5
Publikováno v:
IEEE Access, Vol 10, Pp 107137-107151 (2022)
Industry 4.0 digitization requirements have led to widespread adoption of industrial wireless sensor networks (IWSNs) in manufacturing environments. These require strict control of the traffic flowing over the network to ensure the quality of service
Externí odkaz:
https://doaj.org/article/0bdd7801cd9b4cfba1befc63fa0ad51a
Publikováno v:
IEEE Access, Vol 9, Pp 141651-141666 (2021)
The growing use of mobile nodes in manufacturing environments is increasing the Quality of Service (QoS) requirements of the communications infrastructures that support them, as is the case with Industrial Wireless Sensor Networks (IWSN). Managing ne
Externí odkaz:
https://doaj.org/article/73064aa240644b208850ef8500f42ca1
Publikováno v:
Entropy, Vol 25, Iss 1, p 66 (2022)
Slope Entropy (SlpEn) is a very recently proposed entropy calculation method. It is based on the differences between consecutive values in a time series and two new input thresholds to assign a symbol to each resulting difference interval. As the his
Externí odkaz:
https://doaj.org/article/e9eaf1b8b3464ad3adbb0a1b02d295fc
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 119 (2021)
Industrial Wireless Sensor Networks (IWSN) are becoming increasingly popular in production environments due to their ease of deployment, low cost and energy efficiency. However, the complexity and accuracy demanded by these environments requires that
Externí odkaz:
https://doaj.org/article/446541d157334d85b8d72c0b187a7b4e
Autor:
Luis M. Bartolín-Arnau, David Todoli-Ferrandis, Víctor Sempere-Payá, Javier Silvestre-Blanes, Salvador Santonja-Climent
Publikováno v:
IETE Technical Review. 40:440-452
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044b36cb3b36c0cc27a5ff087346915a
https://doi.org/10.1080/02564602.2022.2121773
https://doi.org/10.1080/02564602.2022.2121773
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8790 (2021)
Emerging Industry 4.0 applications require ever-increasing amounts of data and new sources of information to more accurately characterize the different processes of a production line. Industrial Internet of Things (IIoT) technologies, and in particul
Externí odkaz:
https://doaj.org/article/dcafdfd8ea6341418cbc782ebbf722f5
Publikováno v:
Sensors, Vol 21, Iss 11, p 3904 (2021)
Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability.
Externí odkaz:
https://doaj.org/article/1e0223d210f242a3b7a8e27065c2ab79