Task unloading method for power internet of things, server and terminal

Abstract

The invention provides a power internet of things task unloading method, a server and a terminal, and the method comprises the steps that the server receives a matching application sent by the terminal according to a preset server selection list, wherein the terminal is within the service range of a plurality of servers, and in the server selection list, the task unloading energy efficiency values of task unloading performed on each server by the terminal are arranged in a descending order; according to a preset terminal selection list, the server judges whether to establish a matching connection with the terminal, and in the terminal selection list, task unloading total time delays of task unloading of each terminal in a service range of the server to the server are arranged in an ascending order. According to the invention, joint optimization of task unloading time delay and terminal energy efficiency in a power Internet of Things system can be realized.

Description

technical field [0001] The invention belongs to the technical field of electric power Internet of Things, and in particular relates to a method for unloading tasks of electric power Internet of Things, a server and a terminal. Background technique [0002] Electric Internet of Things (EIoT) is an industrial-grade Internet of Things applied to power systems. It improves the informatization level of power systems by effectively integrating various communication, computing and power resources, and provides comprehensive awareness and efficient response capabilities for construction The energy Internet with flexible processing provides network support. With the development of power business and the deployment of massive sensing terminals, the business data volume and computing processing requirements in the power Internet of Things have shown explosive growth. At the same time, the power Internet of Things has strict requirements on the quality of communication services such as...

AI Technical Summary

Problems solved by technology

First of all, the dense deployment of power IoT terminals leads to the coupling between multi-terminal offloading strategies, that is, when multiple terminals select a server for task offloading at the same time, the task offloading performance of each terminal is affected by other terminals

Secondly, most of the electric IoT terminals are self-powered by batteries, and the energy is limited. If the consideration of energy efficiency is ignored in the task offloading strategy, the energy consumption of the terminals will increase significantly, and the network life cycle will be severely shortened.

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