Computing Task Offloading Based on An Enhanced Genetic Algorithm in Mobile Edge Computing.
Long Zhao, Hongyan Fang, Jian Wu, Yu Wan, Yuhan Zhang, Jixing Chen · 2023
To address the issues of restricted computing resources and significant latency experienced by mobile devices in mobile edge computing (MEC), we introduce an approach based on an enhanced genetic algorithm. This method optimizes task offloading and resource allocation strategies to enhance computing efficiency and decrease latency. By taking into account the issue of balancing the load between delay and energy consumption, we create a cost model for computational offloading and use an enhanced genetic algorithm to develop the most efficient offloading approach. The simulation results reveal the efficacy of the improved genetic algorithm, which efficiently cuts down on task execution delays and energy consumption for device equipment as compared to the conventional computational offloading algorithm.