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IRS-Enabled Ultra-Low-Power Wireless Sensor Networks : Scheduling and Transmission Schemes Alwazani, Hibatallah; Chaaban, Anas

Abstract

Passive technologies, including intelligent reflecting surfaces (IRS), are gaining traction thanks to their ability to enhance communication systems while maintaining minimal cost and low complexity. They can assist a wireless sensor network (WSN) by achieving low power requirements for sensors and aid communication needs in many applications, for instance, environmental monitoring. In this paper, we propose an IRS-equipped WSN which describes sensors equipped with IRSs instead of active radio frequency (RF) electronics. The IRS sensor node (ISN) intercepts a dedicated signal from a power source such as a base station (BS) and modulates the transmission of that signal to an intended recipient. In order to enable multiple sensors to transmit to the receiver, we study opportunistic scheduling (OS) utilizing multi-sensor diversity while considering blind IRS operation, and compare it with round-robin (RR), proportional fairness (PF), and a theoretical upper bound. We study the effect of the choice of the number of IRS elements N and number of ISNs L on the average throughput of the system under OS. Finally, we provide pertinent comparisons for the different scheduling schemes and IRS configurations under relevant system performance metrics, highlighting different scenarios in which each scheme performs better.

Item Metadata

Title
IRS-Enabled Ultra-Low-Power Wireless Sensor Networks : Scheduling and Transmission Schemes
Creator
Alwazani, Hibatallah; Chaaban, Anas
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2022-11-27
Description
Passive technologies, including intelligent reflecting surfaces (IRS), are gaining traction thanks to their ability to enhance communication systems while maintaining minimal cost and low complexity. They can assist a wireless sensor network (WSN) by achieving low power requirements for sensors and aid communication needs in many applications, for instance, environmental monitoring. In this paper, we propose an IRS-equipped WSN which describes sensors equipped with IRSs instead of active radio frequency (RF) electronics. The IRS sensor node (ISN) intercepts a dedicated signal from a power source such as a base station (BS) and modulates the transmission of that signal to an intended recipient. In order to enable multiple sensors to transmit to the receiver, we study opportunistic scheduling (OS) utilizing multi-sensor diversity while considering blind IRS operation, and compare it with round-robin (RR), proportional fairness (PF), and a theoretical upper bound. We study the effect of the choice of the number of IRS elements N and number of ISNs L on the average throughput of the system under OS. Finally, we provide pertinent comparisons for the different scheduling schemes and IRS configurations under relevant system performance metrics, highlighting different scenarios in which each scheme performs better.
Subject
wireless sensor networks; intelligent reflecting surfaces; opportunistic beamforming; system outage probability; multi-user diversity; round robin; proportional fairness
Genre
Article
Type
Text
Language
eng
Date Available
2023-11-16
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0437677
URI
http://hdl.handle.net/2429/86534
Affiliation
Applied Science, Faculty of; Engineering, School of (Okanagan)
Citation
Sensors 22 (23): 9229 (2022)
Publisher DOI
10.3390/s22239229
Peer Review Status
Reviewed
Scholarly Level
Faculty; Graduate
Rights URI
https://creativecommons.org/licenses/by/4.0/
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CC BY 4.0