Abstract: In order to improve the task allocation efficiency of mobile terminals and reduce the computational energy consumption, a mobile edge computing task allocation method based on particle swarm algorithm is proposed. By building a heterogeneous network, we can obtain the complete tasks that need to be allocated, and clarify the specific conditions required for task allocation, that is, allocating consumption and delay. The assignment task is converted into finding the optimal solution of the assignment result, building the optimal solution model, solving the model with the help of the particle swarm algorithm, and generating the assignment result of the optimal edge computing task through continuous iteration and update. The experimental results show that the calculation time of the proposed method is between 1 and 3.3 s when the number of tasks assigned is between 20 and 100; when the number of tasks is 100, the energy consumption of the proposed method is only 4107 J; When it is 100%, its delay is only 12.5 ms; its task allocation calculation time is short, energy consumption is small and data transmission delay is short, which can satisfy the certain application requirement.

Key words: particle swarm algorithm, mobile terminal, task allocation, time delay, energy consumption