Nov 29, 2022 · It alleviates the problem of computing power and delay requirements of mobile computing tasks and reduces the energy consumption of mobile ...

It alleviates the problem of computing power and delay requirements of mobile computing tasks and reduces the energy consumption of mobile devices. However, the ...

Extensive simulation results show that the proposed algorithm can significantly reduce the system energy consumption, task completion time, and running time ...

Furthermore, an improved Quantum Particle Swarm Optimization algorithm for Joint Offloading (JOS-QPSO) is proposed to optimize the task delay and energy ...

This paper proposes a computing resources allocation scheme based on hybrid quantum-behaved particle swarm optimization. Simulation experiments with the network ...

Feb 27, 2024 · The task offloading optimization problem is formulated by introducing data-driven prediction of communication states into the traditional model.

Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy. https://doi.org/10.1007/s12652-023-04672-z ·.

Then, the particle swarm optimization is applied to convert the offloading of task into the process and obtain the optimal offloading strategy. Furthermore, to ...

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The task offloading model for this scenario is established, and a combined algorithm using potential game method to avoid the premature convergence of the ...