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Semantic Scholar · Article (2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS))

Analysis of the Requirement and Architecture for the Internet of Drones

Published 2023-03-17 From 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) 5 authors
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Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS).

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

Internet of Drones (IoDs) is a network meant to connect drones and their users through the Internet. It is now possible for industries to perform a variety of missions in a controlled airspace utilising several drones that are easily accessible as commodity products. Unmanned Aerial Vehicles (UAV) components, such as Central Processing Units (CPUs), sensors, storage, and battery life, may be mass-produced thanks to technological advancements, but the performance constraints of these components obstruct and restrict expectations. In order to provide remote control and accessibility of UAV and efficiently scalable unloading and probabilities of remote storage of data in the cloud system, IoDs deliver drones coupling vehicle and cloud mobility features. In this article, comprehensive overview of the Internet of Things (IoTs), requirements of IoDs and its architecture is reviewed. Drone integration with the IoTs has recently advanced, and this bodes well for worldwide growth.

Authors

  • G. Gokilakrishnan
  • Vigneshkumar M
  • Ravula Anushanjali
  • Ram Subbiah
  • A. H

Keywords

  • Engineering
  • Computer Science
  • Environmental Science

Citation: G. Gokilakrishnan, Vigneshkumar M, Ravula Anushanjali , et al. (2023). Analysis of the Requirement and Architecture for the Internet of Drones. 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). Semantic Scholar ID 490a0951ad4e60be66e879fcbc7847f74f9c18cf. https://doi.org/10.1109/ICACCS57279.2023.10112779 ↗