# A Review of Wireless Charging Solutions for FANETs in IoT-Enabled Smart Environments

## TL;DR

This paper reviews wireless charging solutions for UAVs in FANETs to improve their endurance in IoT-enabled smart environments.

## Contribution

The paper provides a comprehensive review of wireless power transfer methods for UAVs in FANETs, emphasizing in-flight charging and IoT integration.

## Key findings

- In-flight UAV charging can extend endurance by three times compared to standalone batteries.
- Existing systems face scalability issues beyond 20 UAVs.
- Future research should focus on edge computing and blockchain for energy trading.

## Abstract

Unmanned Aerial Vehicles (UAVs) are emerging as a fundamental part of Flying Ad Hoc Networks (FANETs). However, owing to the limited energy capacity of UAV batteries, wireless power transfer (WPT) technologies have recently gained interest from researchers, offering recharging possibilities for FANETs. Based on this background, this study highlights the need for wireless charging to enhance the operational endurance of FANETs in Internet-of-Things (IoT) environments. This review investigates WPT power replenishment to explore the dynamic usage of UAVs in two ways. The former is for using a UAV as a mobile charger to recharge the ground nodes, whereas the latter is for WPT applications in in-flight (UAV-to-UAV) charging. For the two research domains, we describe the different methods of WPT and its latest advancements through the academic and industrial research literature. We categorized the results based on the power transfer range, efficiency, wireless charger topology (ground or in-flight), coordination among multiple UAVs, and trajectory optimization formulation. A crucial finding is that in-flight UAV charging can extend the endurance by three times compared to using standalone batteries. Furthermore, the integration of IoT for the deployment of a clan of UAVs as a FANET is rigorously emphasized. Our data findings also indicate the present and future forecasting graphs of UAVs and IoT-integrating UAVs in the global market. Existing systems have scalability issues beyond 20 UAVs; therefore, future research requires edge computing for WPT scheduling and blockchains for energy trading.