Joint Power Allocation and Placement Scheme for UAV-Assisted IoT With QoS Guarantee

In the disaster and remote regions, unmanned aerial vehicles (UAVs) can assist the data acquisition for Internet of Things (IoT). How to cover massive IoT devices (IDs), which require diverse quality-of-service (QoS), is a crucial challenge. For UAV-assisted IoT, this paper studies the deployment scheme with QoS guarantee to place multiple UAVs for covering all ground IDs and maximizing the average data rate of UAVs. First, for the ground ID, we propose the QoS demand based power allocation (QDPA) algorithm to solve the diversity of QoS with respect to data rate demand. Then, the data rate maximization placement (DRMP) algorithm is proposed to optimize the placement of single UAV. Finally, based on QDPA and DRMP algorithms, we propose the joint power allocation and placement (JPAP) scheme with QoS guarantee, which can cover massive IDs, to deploy multiple UAVs for maximizing the average UAV data rate. Simulation experiments are conducted to verify the superiority of our proposed JPAP scheme, which can minimize the UAV number and maximize the average data rate of UAVs.

Automated summary

This paper investigates the use of unmanned aerial vehicles (UAVs) in assisting data acquisition for the Internet of Things (IoT). It proposes a deployment scheme with quality-of-service (QoS) guarantee to optimize the placement of UAVs and maximize their average data rate. The proposed algorithms minimize the number of UAVs while covering a large number of ground devices.