Operation Optimization of Laser-Powered Aerial Data Harvesting for Passive IoT Networks

Amr M. Abdelhady, Abdulkadir Çelik, Carles Diaz-Vilor, Hamid Jafarkhani, Ahmed M. Eltawil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the maximization of har-vested data in a laser-powered uncrewed aerial vehicle (UAV) supporting Internet of Things (IoT) deployment. The system enables battery-free IoT devices to establish communication links with the UAV via bistatic backscattering with the aid of a power beacon source. Upon considering an unspecified flying time, we adopt path discretization and resort to the single-block successive convex approximation (SCA) to solve the data collection maximization problem. In addition to considering the UAV dynamics and power budget, two novel SCA-compatible bounds are introduced for the product of mixed convex/concave positive functions. Finally, the simulations conducted show that the proposed algorithm provides 90% increase in collected data under different operation conditions.

Original languageEnglish (US)
Title of host publication2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350303582
DOIs
StatePublished - 2024
Event25th IEEE Wireless Communications and Networking Conference, WCNC 2024 - Dubai, United Arab Emirates
Duration: Apr 21 2024Apr 24 2024

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference25th IEEE Wireless Communications and Networking Conference, WCNC 2024
Country/TerritoryUnited Arab Emirates
CityDubai
Period04/21/2404/24/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Backscatter communications
  • Laser-powered UAVs
  • Resource allocation1
  • Trajectory optimization

ASJC Scopus subject areas

  • General Engineering

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