Joint Power Allocation and Placement Scheme for UAV-assisted IoT with QoS Guarantee

TL;DR

This paper presents a joint power allocation and placement scheme for UAV-assisted IoT networks that guarantees QoS, covering many devices efficiently and maximizing data rates through innovative algorithms.

Contribution

It introduces a novel joint scheme combining power allocation and placement algorithms specifically designed for UAV-assisted IoT with QoS guarantees.

Findings

The JPAP scheme reduces UAV deployment costs.

It maximizes the average data rate of UAVs.

Simulation results verify its effectiveness.

Abstract

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.