relation: https://khub.utp.edu.my/scholars/16487/
title: Simultaneous Detection of Multiple Surface Acoustic Wave Sensor Tags for Water Quality Monitoring Utilizing Cellular Code-Reuse Approach
creator: Suresh, K.
creator: Jeoti, V.
creator: Drieberg, M.
creator: Soeung, S.
creator: Iqbal, A.
creator: Stojanovic, G.M.
creator: Sarang, S.
description: A water quality monitoring application often requires the deployment of Internet-of-Things (IoT) sensors over a wide water body with communication links among them to transmit, receive the data, and then uplink it to the cloud for further analytics. Deployment of this kind requires battery-assisted IoT sensors which require monitoring the battery level and replacement when necessary. It is thus desirable to have battery-free sensor tags and a suitable communication infrastructure to obtain data. In this article, a system that facilitates obtaining sensed data, like pH, through passive sensor tags based on surface acoustic wave (SAW) technology and a cellular code-reuse scheme-based reader infrastructure is proposed. The reader in each cell is able to read multiple sensor tags simultaneously, which itself has been a challenge. The SAW sensor tags are appropriately proposed to be designed to be orthogonal to allow simultaneous detection and the cell range of reader-SAW sensor-tags communication is sought to be further enhanced through a resonant loading of interdigital transducer (IDT)-based reflectors. © 2014 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022
type: Article
type: PeerReviewed
identifier:   Suresh, K. and Jeoti, V. and Drieberg, M. and Soeung, S. and Iqbal, A. and Stojanovic, G.M. and Sarang, S.  (2022) Simultaneous Detection of Multiple Surface Acoustic Wave Sensor Tags for Water Quality Monitoring Utilizing Cellular Code-Reuse Approach.  IEEE Internet of Things Journal, 9 (16).  pp. 14385-14399.  ISSN 23274662     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107192302&doi=10.1109%2fJIOT.2021.3082141&partnerID=40&md5=870e2b19d0f522f9aa2b9b08c16676ff
relation: 10.1109/JIOT.2021.3082141
identifier: 10.1109/JIOT.2021.3082141