Optimal Deployment of Fog-Based Solution for Connected Devices in Smart Factory

Internet of Things (IoT) is commonly used in
Industry-4.0/5.0, but it generates an excessive amount of
data that affects quality of service (QoS). To address this
challenge, Fog-based architectures have emerged as an
alternative solution. However, its deployment can be challenging,
particularly when dealing with mobile connected
devices like robots. To optimize the deployment of Fogbased
solution in the presence of mobile connected devices,
this paper proposes an Integer Linear Programming
model to find the optimal network of hardware devices
that will ensure complete coverage of the working area,
good QoS, and cost minimization. The proposed model
was tested in a real industrial workshop case and a benchmark
case. Results showed that the model is effective
and robust in optimizing Fog-based solutions deployment
while considering the dynamic aspect of mobile devices.
Overall, the model offers a valuable approach for managing
the increased data volume generated by IoT in industrial
environments.