Vehicle-Assisted Computing Offloading for UAV Enabled Crowdsensing

Unmanned aerial vehicle (UAV)-assisted mobile crowdsensing, as a promising mobile crowdsensing paradigm to support various of mobile applications, has attracted a great deal attention of academic and industrial. However, there still exist challenges for UAV-assisted crowdsensing due to intensive computation involved in sensing tasks, limited energy consumption and computing power. In this paper, we propose a vehicle-assisted computing offloading scheme for UAV enabled crowdsensing. Specifically, the UAV motivates vehicles to contribute idle computational resources to participate in the UAV's computational offloading task by offering rewards. Then, a reverse auction model is established to analyze the interaction between the UAV and vehicles, where their utilities are formulated in detail. Finally, extensive experiments have been conducted to validate the proposed scheme. The simulation results show that the proposed scheme can achieve higher utilities of the UAV and vehicles compared with conventional schemes.