  In this research, a unique approach to provide communication service for
terrestrial receivers via using unmanned aerial vehicle-enabled visible light
communication is investigated. Specifically, we take into account a unmanned
aerial vehicle-enabled visible light communication scenario with multiplex
transmitters, multiplex receivers, and a single eavesdropper, each of which is
equipped with a single photodetector. Then, a unmanned aerial vehicle
deployment multi-objective optimization problem is formulated to simultaneously
make the optical power received by receiving surface more uniform, minimize the
amount of information collected by a eavesdropper, and minimize the energy
consumption of unmanned aerial vehicles, while the locations and transmission
power of unmanned aerial vehicles are simultaneously optimized under certain
constraints. Since the formulated unmanned aerial vehicle deployment
multi-objective optimization problem is complex and nonlinear, it is
challenging to be tackled by using conventional methods. For the purpose of
solving the problem, a multi-objective evolutionary algorithm based on
decomposition with chaos initiation and crossover mutation is proposed.
Simulation outcomes show that the proposed approach is superior to other
approaches, and is efficient at improving the security and energy efficiency of
visible light communication system.
