Secure data collection via UAV-carried IRS

This paper considers unmanned aerial vehicle (UAV)-carried intelligent reflecting surface (IRS) for secure data collection from wireless sensor networks. An eavesdropper (Eve) lurks within the vicinity of the main receiver (Bob). Several distributed sensors beamform collaboratively to the UAV-carried IRS reflecting the signal to the main receiver (Bob). The design objective is to maximize the achievable secrecy rate in noisy communication channel by optimizing the collaborative beamforming weights of the sensors, trajectory of the UAV and reflection coefficients of the IRS elements. We proposed novel method to obtain the parameters using non-iterative approach by mitigating the IRS reflection coefficients dependencies.