Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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2.10

CiteScore

A.K. DamodaramThis email address is being protected from spambots. You need JavaScript enabled to view it.1, L. Venkateswara Reddy2, M. Giri3, and N. Manikandan1

1Department of Mechanical Engineering, Sree Vidyanikethan Engineering College (Autonomous), Tirupati, Andhra Pradesh, India
2Department of Computer Science & Engineering, KG Reddy College of Engineering & Technology, Hyderabad, Telangana, India
3Department of Computer Science & Engineering, Joginpally B.R. Engineering College, Hyderabad, Telangana, India


 

Received: March 16, 2022
Accepted: October 3, 2022
Publication Date: November 22, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202308_26(8).0015  


ABSTRACT


The multilayer IoT-Cloud architecture offers a distinctive system for deployment of a ‘drone assisted’ real-time data gaining and monitoring using IOT energy meters in the smart cities. Despite of the advantages of flexibility, cost-effectiveness, functionality, and availability of the Cloud-Fog architecture comprising present day LPWAN technologies for sensor devices, there is a need for study of various competing LPWAN algorithms that will support cloud-fog-IoT computing environment. The present article is some studies on present-day technologies for IoT-Cloud Smart city adoptability. A pilot run is simulated using MATLAB SIMULINK to obtain the drone movement and the smart meter readings were obtained using the same. The article studies and compares compatibility of present-day LPAWAN technologies NB-IoT, LoRa, and SigFox for the multi-layer IoT-Cloud architecture for drone assisted smart meter monitoring in smart city environment.


Keywords: IoT-Cloud Architecture; LPWAN Technologies; Drones; Smart meters; Smart Cities


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