Big datasets of optical-wireless cyber-physical systems for optimizing manufacturing services in the internet of things-enabled industry 4.0
Özet
The Industry 4.0 revolution is aimed to optimize the prod-
uct design according to the customers’ demand, quality re-
quirements and economic feasibility. Industry 4.0 employs
advanced two-way communication technologies for optimiz-
ing the manufacturing process to increase the sales of the
products and revenues to cope the existing global economy
issues. In Industry 4.0, big data obtained from the Internet of
Things (IoT)-enabled industrial Cyber-Physical Systems (CPS)
plays an important role in enhancing the system service per-
formance to boost the productivity with enhanced quality of
customer experience. This paper presents the big datasets
obtained from the Internet of things (IoT)-enabled Optical-
Wireless Sensor Networks (OWSNs) for optimizing service
systems’ performance in the electronics manufacturing In-
dustry 4.0. The updated raw and analyzed big datasets of
our published work [3] contain five values namely, data de-
livery, latency, congestion, throughput, and packet error rate
in OWSNs. The obtained dataset are useful for optimizing the
service system performance in the electronics manufacturing
Industry 4.0.
