Hayajneh, A, Zaidi, SAR, Hafeez, M et al. (2 more authors) (2019) Coverage Analysis of Drone-Assisted Backscatter Communication for IoT Sensor Network. In: Workshop on Wireless sensors and Drones in Internet of Things (Wi-DroIT 2019). Wi-DroIT 2019 (in conjunction with DCOSS 2019), 29-31 May 2019, Santorini Island, Greece. IEEE , pp. 584-590. ISBN 978-1-7281-0570-3
Abstract
In this article, we develop a comprehensive framework to characterize the performance of drone assisted Backscatter communication based Internet of things (IoT) sensor network. We consider a scenario such where drone transmits RF carrier which is modulated by IoT sensor node (SN) to transmit its data. The SN implements load modulation which results in amplitude shift keying (ASK) type modulation for the impinging RF carrier. In order to quantify the performance of considered network, we characterize the coverage probability for the ground based SN node. The statistical framework developed to quantify the coverage probability explicitly accommodates dyadic backscatter channel which experiences deeper fades than that of the oneway Rayleigh channel. Our model also incorporates Line of Sight (LoS) and Non-LoS (NLoS) propogation states for accurately modeling large-scale path-loss between drone and SN. We
consider spatially distributed SNs which can be modelled using spatial Binomial Point process (BPP). We practically implement the proposed system using Software Defined Radio (SDR) and a custom designed SN tag. The measurements of parameters such as noise figure, tag reflection coefficient etc., are used to parametrize the developed framework. Lastly, we demonstrate that there exists an optimal set of parameters which maximizes the coverage probability for the SN.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Drone, Backscatter communication, Dyadic fading, Stochastic geometry, Binomial process, Coverage probability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2019 13:53 |
Last Modified: | 25 Sep 2019 14:26 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/DCOSS.2019.00108 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145384 |