1 research outputs found
Economics of UAV-aided Mobile Services Deployment
An Unmanned Aerial Vehicle (UAV) network has emerged as a promising technique
to rapidly provide mobile services to a geographical area, where a flying UAV
can be deployed close to mobile users to serve as a cell site. However,
deployment of UAV-aided mobile services (UMS) faces challenges due to the UAV
limitation in wireless coverage and energy storage, which requires both
technological and economic schemes in the system level. There are important
economic issues regarding the UAV-user interaction for service provision,
deployment cost and sustainable deployment of the UAV network. These economic
issues are largely overlooked in the literature and this article presents
economic solutions for the UMS deployment and operation for providing UMS. As
users' locations are their private information and are changing over time, how
to ensure users' truthful location reporting is important for determining
optimal UAV deployment in serving all the users fairly. However, this is
challenging given users' selfishness and a strategic user may misreport his
location such that the final UAV placement is closer to himself but further to
the other users. We comprehensively present two UAV placement games for best
serving all the users while ensuring their truthful location reporting. In
addition to addressing the UAV-user interactions via algorithmic game theory,
we further study the UAV network sustainability for UMS service provision by
minimizing the energy consumption cost during deployment and seeking UAV-UAV
cooperation. Though the problems are difficult and shown to be NP-complete, we
present tractable deployment solutions for optimizing the bottleneck UAV
lifetime and the overall UAV network performance, respectively. Finally, we
study the long-term UAV-UAV cooperation in developing various cost-aware
patrolling schemes and providing users with dynamic UMS services