UAV-Empowered IoT Network With Hardware Impairments and Shadowing

hardware impairments; Internet of Things (IoT) devices (IoDs); outage probability; Sensor networks; unmanned aerial vehicle (UAV) relaying; wireless power transfer (WPT); Aerial vehicle; Fadings channels; Hardware; Hardware impairment; IoT device; Outage probability; Performance; Power transfers; Unmanned aerial vehicle relaying; Wirless power transfer; Instrumentation; Electrical and Electronic Engineering

Abstract :

[en] This letter investigates the performance of an unmanned aerial vehicle (UAV)-enabled communication network for energy-constrained Internet of Things devices (IoDs) in the presence of transceiver hardware impairments. Herein, a UAV operates as a radio frequency energy harvesting transmitter for several IoDs and employs the decode-and-forward protocol to relay the gathered information from the IoDs to the base station. We employ a first-order autoregressive method for modeling the relative mobility between the nodes. The log-normal distribution is used to characterize the shadowing components for modeling the composite fading channel. We leverage the Gauss-Hermite quadrature method to obtain accurate expressions for the outage probability, followed by system throughput and energy efficiency.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Pandey, Gaurav K. ; National Institute of Technology Silchar, Department of Electronics and Communication Engineering, Silchar, India

Gurjar, Devendra S. ; National Institute of Technology Silchar, Department of Electronics and Communication Engineering, Silchar, India

Yadav, Suneel ; Indian Institute of Information Technology Allahabad, Department of Electronics and Communication Engineering, Prayagraj, India

SOLANKI, Sourabh ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

External co-authors :

yes

Language :

English

Title :

UAV-Empowered IoT Network With Hardware Impairments and Shadowing

Publication date :

08 June 2023

Journal title :

IEEE Sensors Letters

eISSN :

2475-1472

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

1-4

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/7782634/10159161/10146460.pdf?arnumber=10146460

Funding text :

This work was supported in part by India-Serbia Scientific and Technological Cooperation Program under Project DST/INT/Serbia/P-04/2022.

Available on ORBilu :

since 28 November 2023

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