A Model for Integrating Edge Computing into an Air-Ground Network Structure and Offloading Traffic Method for High and Ultra-High Densities Internet of Things Networks
https://doi.org/10.31854/1813-324X-2023-9-3-42-59
Abstract
The scientific challenge of incorporating edge computing into the air-ground network architecture for high and ultra-high density Internet of Things networks is the focus of this article. These issues are particularly important right now because of the concept of "space‒air‒ground‒sea" inegrated networks. A mechanism for offloading traffic from the ground network to mobile edge computing servers on UAVs has also been devised. This network model suggests using mobile edge computing servers deployed on unmanned aerial vehicles (UAVs) to reduce latency and power consumption. At the same time, a software profiler is utilized on the terminal devices to identify the difficulty of the computed task and, based on that determination, a three-level technique for offloading traffic is used.
About the Author
A. Muthanna
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Russian Federation
Russian Federation
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Review
For citations:
Muthanna A. A Model for Integrating Edge Computing into an Air-Ground Network Structure and Offloading Traffic Method for High and Ultra-High Densities Internet of Things Networks. Proceedings of Telecommunication Universities. 2023;9(3):42-59. (In Russ.) https://doi.org/10.31854/1813-324X-2023-9-3-42-59
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