Maximizing Computed Data in In-Band Full-Duplex UAV-Assisted IIoT Networks

In this article, we consider an unmanned aerial vehicle (UAV) with an in-band full-duplex radio that is used to interconnect industrial Internet of things (IIoT) devices and exploit their computation and energy resources to help process data. We formulate a mixed integer linear program to optimize the first sampling rate of each device, second amount of data the UAV transmits and receives to/from a device, third position of the UAV over time, and finally the number of virtual machines used by devices and UAV to compute data. We also propose a distributed protocol to determine quantity using aforementioned points. Our results show that an IBFD-UAV has a higher max-min computed sampling rate as compared to when the UAV uses a half duplex radio. Moreover, the said protocol achieves a max-min rate that is 80% optimal.