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Unmanned Aerial Vehicle-Mounted Edge Server Deployment for Internet of Vehicles
  • Zhihai Tang,
  • Aiwen Huang,
  • Le Chang
Zhihai Tang
Guangdong University of Technology
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Aiwen Huang
Guangdong University of Technology
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Le Chang
Guangdong University of Technology

Corresponding Author:[email protected]

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Edge computing has been proved an efficient approach to provisioning computation offloading service to vehicles on road through Road-Side Units (RSUs). However, the traffic volume on road is highly dynamic, while RSU-based edge servers are static in terms of geographical location and computation capacity. To address this problem, this paper proposes a mobile edge server placement strategy using cruising UAVs along the roads based on the genetic algorithm. We first build a mathematical model to characterize the deployment cost of these UAV-mounted servers and their routes. Next, we design a heuristic UAV-mounted edge server deployment scheme based on K-medoid clustering and genetic algorithms. Experimental results verify that our proposed UAV deployment scheme satisfies the offloading demand of IoV nodes while reducing the total deployment cost by 17.05% to 48.94% compared with existing popular approaches.
Submitted to Electronics Letters
02 Feb 2024Review(s) Completed, Editorial Evaluation Pending
23 Feb 2024Editorial Decision: Revise Major
29 Feb 20241st Revision Received
01 Mar 2024Submission Checks Completed
01 Mar 2024Assigned to Editor
01 Mar 2024Review(s) Completed, Editorial Evaluation Pending
03 Mar 2024Editorial Decision: Accept