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

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 23; p. 9411
• Main Authors: Ding, Xufei, Tian, Wen, Liu, Guangjie, Ji, Xiaopeng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.11.2023
• Subjects: Algorithms; Communication; Data collection; Data security; Drone aircraft; Energy consumption; Energy efficiency; Energy management systems; energy minimization; Energy use; Mathematical optimization; Optimization algorithms; Scheduling; Sensors; trajectory optimization; unmanned aerial vehicle (UAV); Unmanned aerial vehicles; wireless sensor network (WSN); Wireless sensor networks; wireless sensor network (WSN); unmanned aerial vehicle (UAV); trajectory optimization; data collection; energy minimization
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23239411

In wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs) are considered an effective data collection tool. In this paper, we investigate the energy-efficient data collection problem in a UAV-enabled secure WSN without knowing the instantaneous channel state information of the eavesdropper (Eve). Specifically, the UAV collected the information from all the wireless sensors at the scheduled time and forward it to the fusion center while Eve tries to eavesdrop on this confidential information from the UAV. To surmount this intractable and convoluted mixed-integer non-convex problem, 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 the superiority of the algorithm we proposed in energy consumption and secrecy rate compared with other schemes.