UDCO-SAGiMEC: Joint UAV Deployment and Computation Offloading for Space–Air–Ground Integrated Mobile Edge Computing

Yinghao Xu, Fukang Deng and Jianshan Zhang ()
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Yinghao Xu: Maynooth University International Engineering College, Fuzhou University, Fuzhou 350108, China
Fukang Deng: College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China
Jianshan Zhang: Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou 350108, China

Mathematics, 2023, vol. 11, issue 18, 1-19

Abstract: Computation-intensive applications offloading is challenging, especially in the designated regions where communication infrastructure is absent or compromised. In this paper, we present a Space–Air–Ground integrated Mobile Edge Computing (SAGiMEC) system for these regions to provide quality computational services, where the unmanned aerial vehicles (UAVs) act as in-fight edge servers to provide low-latency edge computing and the satellite provides resident cloud computing. A joint optimization problem is formulated considering UAV deployment, ground device (GD) access, and computation offloading to minimize the system average response latency. To cope with the problem’s complexity, we propose a Particle Swarm Optimization (PSO) and Greedy Strategy (GS)-based algorithm (PSO&GS) to obtain an approximate optimal solution. Extensive simulations validate the convergence of the proposed algorithm. Numerical results show that the proposed approach has excellent convergence, and the system average response latency is about 0.65x–0.85x that of the benchmark algorithm.

Keywords: space–air–ground integrated; mobile edge computing; UAV deployment; device access; computation offloading (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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