Secrecy Energy Efficiency Maximization in UAV-Enabled Wireless Sensor Networks Without Eavesdropper’s CSI

• DOI: 10.1109/jiot.2021.3098049
• Publication Date: 2021-08-10T23:43:11Z
• Authors: Meng Li; Xiaofeng Tao; Na Li; Huici Wu; Jin Xu
• Keywords: Maximization

Unmanned aerial vehicles (UAVs) are anticipated to be a potential data collection solution for wireless sensor networks (WSNs). The main challenges of integrating UAVs in WSNs security threats and UAV's onboard energy limitation. To cope with these two challenges, this article examines the secrecy efficiency (SEE) maximization problem UAV-enabled WSN. Specifically, full-duplex (FD) UAV gathers confidential information from ground nodes (SNs) uplink while sending jamming signals confound eavesdropper (Eve) downlink. Considering passive eavesdropping scenario lacking Eve's instantaneous channel state (CSI), resulting is subject constraints connection outage probability (COP), (SOP), securely collected bits, flight trajectory. tackle intractable nonconvex problem, we first derive optimal codeword rate redundancy closed-form expressions then develop low-complexity algorithm using block coordinate descent (BCD) approach alternatively optimize SN scheduling, transmit power, Simulation results verify performance gains proposed scheme compared benchmark schemes. In particular, achieves nearly same at lower consumption cost than sum (SSRM) baseline. Moreover, it revealed that trajectory optimization plays crucial role improving SEE circle (CT)