Joint Deployment of UAV and Edge Server In Edge Computing

Edge server placement is a hot issue in mobile edge computing. It is a key prerequisite for deploying edge servers that can meet computing needs and improve resource utilization. This paper studies the joint location deployment problem of edge server and UAV, and proposes a dynamic placement solution for heterogeneous servers based on dynamically changing network environments and computing resource requirements, with the goal of minimizing migration costs. Extensive comparative experiments based on real datasets demonstrate that our algorithm outperforms other algorithms in minimizing costs.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978531
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.46

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article

Joint Deployment of UAV and Edge Server In Edge Computing

D. H. Zhang, Wei Huang, Yin Tang, Wei Luo
3 citations
IoT and Edge/Fog Computing
4.46
article

Joint Deployment of UAV and Edge Server In Edge Computing

D. H. Zhang, Wei Huang, Yin Tang, Wei Luo
article en
3 citations

Abstract

Edge server placement is a hot issue in mobile edge computing. It is a key prerequisite for deploying edge servers that can meet computing needs and improve resource utilization. This paper studies the joint location deployment problem of edge server and UAV, and proposes a dynamic placement solution for heterogeneous servers based on dynamically changing network environments and computing resource requirements, with the goal of minimizing migration costs. Extensive comparative experiments based on real datasets demonstrate that our algorithm outperforms other algorithms in minimizing costs.

Central South University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 6%
IoT and Edge/Fog Computing
4.46
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