Coverage-Optimal UAV Deployment and Energy-Efficient Sensor Power Allocation for UAV-Enabled Data Collection

Abstract

Using unmanned aerial vehicles (UAVs) to collect data provides a paradigm for the design of wireless sensor networks (WSNs), but faces with the challenges of data security and energy limitation. To cope with these issues, the coverage-optimal deployment of the UAV is proposed by optimizing the UAV's positions to accommodate the intelligent movements of the eavesdropper while covering more sensors for secure data transmission. Then, to maximize the energy efficiency of data collection, the power is optimally allocated to the activated sensors that satisfy the condition of secure transmission. As evaluated in simulation, by the joint optimization of spatial and power domains, the data security and energy efficiency can be ensured for the UAV-enabled data collection in the WSNs.