A Truthful Mechanism For Mobility Management In Unmanned Aerial Vehicles Networks

We study the task allocation strategy in a UAV swarm sensing platform for performing location estimation. In particular, we design a reverse auction mechanism where the fusion center (FC) selects a subset of UAVs, and instructs them to move to particular positions to take measurements regarding a target. Based on the measurements, the FC estimates the location of the target and reimburses the UAVs for their participation in performing the sensing tasks. The auction mechanism addresses participatory concerns of the UAVs that arise due to energy consumption, while ensuring that the UAVs truthfully report their participation costs. Our mechanism maximizes the utility of the FC to achieve desired sensing objectives and numerical results are provided for illustration.