Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks

In wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs) are considered aneffective data collection tool. In this paper, we investigate the energy-efficient data collection problemin a UAV-enabled secure WSN without knowing the instantaneous channel state information of theeavesdropper (Eve). Specifically, the UAV collected the information from all the wireless sensors atthe scheduled time and forward it to the fusion center while Eve tries to eavesdrop on this confidentialinformation from the UAV. To surmount this intractable and convoluted mixed-integer non-convexproblem, we propose an efficient iterative optimization algorithm using the block coordinate descent(BCD) method to minimize the maximum energy consumption of the ground sensor nodes (GSNs)under the constraints of secrecy outage probability (SOP), connection outage probability (COP),minimum secure data, information causality, and UAV trajectory. Numerical results demonstrate thesuperiority of the algorithm we proposed in energy consumption and secrecy rate compared withother schemes.