Time delay and energy consumption-oriented electric power Internet of Things workload distribution method

Abstract

The invention discloses a time delay and energy consumption-oriented electric power Internet of Things workload distribution method. The method comprises the steps of constructing an electric power Internet of Things workload distribution model based on edge calculation; establishing a multi-objective optimization function of power Internet of Things workload allocation based on the constructed power Internet of Things workload allocation model by taking the time delay and energy consumption of the unmanned aerial vehicle terminal UE as a common optimization objective; and solving the established multi-objective optimization function through an improved MOEA / D algorithm. According to the invention, the workload distribution method based on the improved MOEA / D algorithm is provided, and theoptimal solution searching capability of the algorithm is improved; in the neighborhood updating strategy, the bad individuals in the neighborhood are updated by using the maximum fitness increment,so that the survival time of the excellent individuals is prolonged, the final result is closer to the optimal workload allocation mode, the energy consumption under the same time delay index is smaller, and the time delay under the same energy consumption index is smaller.

Description

technical field [0001] The invention belongs to the technical field of electric power Internet of things, relates to a time delay and energy consumption-oriented electric power Internet of things workload distribution technology, in particular to a time delay and energy consumption-oriented electric power Internet of things workload distribution method based on edge computing. Background technique [0002] Power Internet of Things is an important application practice of Internet of Things technology in the power industry. With the continuous development of image recognition technology and emerging communication technology, the multi-rotor UAV terminal UE has been used in the power Internet of things to carry out professional inspection work in transmission lines and substations. Through close-range infrared and visible light inspection of equipment, accurate Determine the location of the defect and discover various potential failures of the equipment that are difficult to fi...

AI Technical Summary

Problems solved by technology

[0010] Technical solution 3 can intelligently adjust the tendency of task allocation. The disadvantage is that the task allocation scheme is too dependent on the initially generated task allocation scheme set, and it is difficult to solve the weight problem of energy consumption indicators and delay indicators in scenarios where terminals and tasks change dynamically. The limitations of the optimal task allocation scheme are relatively large

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