In a smart factory environment, a much larger amount of data is transmitted in the workshop networks bringing big challenges to data transfer capability and energy usage efficiency. In the workshop, two main networks, i.e., wired/wireless fieldbus networks (WFNs) and wireless sensor networks (WSNs), are usually used to collect and transmit data separately; thus, this work proposes a mobile and hierarchical data transmission architecture to integrate these two networks also taking advantages from the existing Mobile Intelligence in smart factories, such as AGVs (Automatic Guided Vehicles), to implement a novel data and materials delivery scheme well suited for modern Industrial Wireless Sensor Networks (IWSNs). Simulation experiments demonstrated how the proposed approach, running within the IWSN, significantly increases data delivery efficiency also achieving better energy usage, by 4 times, respect to the separated networks without any Mobile Intelligence support.
A Novel Mobile and Hierarchical Data Transmission Architecture for Smart Factories
Pace, Pasquale;Fortino, Giancarlo
2018-01-01
Abstract
In a smart factory environment, a much larger amount of data is transmitted in the workshop networks bringing big challenges to data transfer capability and energy usage efficiency. In the workshop, two main networks, i.e., wired/wireless fieldbus networks (WFNs) and wireless sensor networks (WSNs), are usually used to collect and transmit data separately; thus, this work proposes a mobile and hierarchical data transmission architecture to integrate these two networks also taking advantages from the existing Mobile Intelligence in smart factories, such as AGVs (Automatic Guided Vehicles), to implement a novel data and materials delivery scheme well suited for modern Industrial Wireless Sensor Networks (IWSNs). Simulation experiments demonstrated how the proposed approach, running within the IWSN, significantly increases data delivery efficiency also achieving better energy usage, by 4 times, respect to the separated networks without any Mobile Intelligence support.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.