Load Balancing for Reliable Self-Organizing Industrial IoT Networks

Industry 4.0 will interconnect and digitalize traditional industries to enable smart and adaptable factories that efficiently utilize resources and integrate systems. A key enabler of this paradigm is the communications infrastructure that will support the ubiquitous connectivity of Cyber-Physical P...

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Detalhes bibliográficos
Autores: Lucas Estañ, María del Carmen, Gozalvez, Javier
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universidad Miguel Hernández de Elche
Repositorio:REDIUMH. Depósito Digital de la UMH
OAI Identifier:oai:dspace.umh.es:11000/5072
Acesso em linha:http://hdl.handle.net/11000/5072
Access Level:acceso abierto
Palavra-chave:Industrial wireless networks
Industrial IoT
IIoT
industrial wireless sensor networks
Industry 4.0
Factories of the Future
self-organizing
621.3 - Ingeniería eléctrica. Electrotecnia. Telecomunicaciones
Descrição
Resumo:Industry 4.0 will interconnect and digitalize traditional industries to enable smart and adaptable factories that efficiently utilize resources and integrate systems. A key enabler of this paradigm is the communications infrastructure that will support the ubiquitous connectivity of Cyber-Physical Production Systems. The integration of wireless networks will facilitate the dynamic reconfiguration of the factories of the future, and the collection and management of large amounts of data. This vision requires reliable and low latency wireless links with the necessary bandwidth to support data intensive applications and spatio-temporal variations of data resulting from the reconfiguration of Industrial IoT (Internet of Things) systems. To this aim, this paper proposes a load balancing scheme that dynamically manages the wireless links based on their quality and the amount of data to be transmitted by each node. The proposed scheme avoids the saturation of channels, and significantly augments the reliability of industrial wireless networks in comparison with existing solutions.