EURASIP Journal on Wireless Communications and Networking (Nov 2020)

Multi-task offloading scheme for UAV-enabled fog computing networks

  • Xujie Li,
  • Lingjie Zhou,
  • Ying Sun,
  • Buyankhishig Ulziinyam

DOI
https://doi.org/10.1186/s13638-020-01825-y
Journal volume & issue
Vol. 2020, no. 1
pp. 1 – 16

Abstract

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Abstract In unmanned aerial vehicle (UAV)-enabled fog computing networks, how to efficiently offload multiple tasks to the computing nodes is a challenging combinatorial optimization problem. In this paper, in order to optimize the total delay for the UAV-enabled fog computing networks, a simple scheduling algorithm and a multi-task offloading scheme based on fireworks algorithm (FWA) are proposed. First, the system model of multiple tasks offloading in UAV-enabled fog computing networks is described in detail. Then, a simple scheduling algorithm is proposed to optimize the delay of the tasks allocated to a single node. Based on the scheduling algorithm, a multi-task offloading scheme for all tasks and all computing nodes is presented. Finally, simulation results show that the performance of a proposed scheduling algorithm and offloading strategy outperforms than that of a genetic algorithm and a random algorithm. This result can provide an effective optimization for multi-task offloading in UAV-enabled fog computing networks.

Keywords