Journal of Applied Science and Engineering (Feb 2023)

A Study On ’LPWAN’ Technologies For A Drone Assisted Smart Energy Meter System In 5g-smart City Iot-cloud Environment

  • A.K. Damodaram,
  • Venkateswara Reddy,
  • M. Giri,
  • N. Manikandan

DOI
https://doi.org/10.6180/jase.202308_26(8).0015
Journal volume & issue
Vol. 26, no. 8
pp. 1197 – 1205

Abstract

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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.

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