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Gazi M. E. Rahman

Researcher at University of Saskatchewan

Publications -  7
Citations -  216

Gazi M. E. Rahman is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Wireless sensor network & Sensor node. The author has an hindex of 3, co-authored 7 publications receiving 52 citations. Previous affiliations of Gazi M. E. Rahman include United International University.

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COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

TL;DR: A potential application of the Internet of Things (IoT) in healthcare and physical distance monitoring for pandemic situations and the COVID-SAFE framework can assist in minimizing the coronavirus exposure risk is presented.
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Comparative Performance Analysis of Lightweight Cryptography Algorithms for IoT Sensor Nodes

TL;DR: In this paper, the authors compared the performance of 32 Lightweight Cryptography (LWC) algorithms with currently well-known algorithms on multiple IoT platforms (Raspberry Pi 3, Raspberry Pi Zero W, and iMX233).
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SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring.

TL;DR: This work presents a newly designed root imaging system called SoilCam, which is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated operations for long-term in-situ monitoring using wireless control and access.
Journal ArticleDOI

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

Gazi M. E. Rahman, +1 more
- 24 Sep 2020 - 
TL;DR: A lightweight, dynamic, and auto-reconfigurable communication protocol (LDAP) for Wide-Area Remote Monitoring (WARM) applications that has a mobile data sink for wider WSN coverage, andAuto-re configuration capability to cope with the dynamic network topology required for device mobility is proposed.
Journal ArticleDOI

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation.

TL;DR: In this article, a multilayer WSN integration and the required algorithms for the closed-loop control of the irrigation system using IoT is presented, where a low-power and long-range sensor node is developed due to the lack of cellular data coverage in rural areas.