Resource scheduling method based on game theory in power Internet of things system

Abstract

The invention discloses a resource scheduling method based on game theory in an electric power internet of things system, which includes: (1) Smart meters and access points AP in the same area form a network. The smart meter communicates the information to the AP in a single-hop or multi-hop manner. Establish a transmission energy consumption function; (2) The smart meter has computing tasks. If the local computing resources are insufficient, the task will be offloaded to other meters or APs on the path, and the task offloading energy consumption function will be established; (3) The smart meter can choose to accept All smart meters and APs in the network establish a network to form a game; (4) The smart meter calculates the cost function of each strategy, and selects the strategy with the smallest cost function by comparison; (5) Every time a The strategy of smart meters updates the connection state of the network once; (6) the game reaches Nash equilibrium, all smart meters do not change their strategies, and each smart meter performs multi-hop transmission and task offloading according to the path formed by the selected strategy.

Description

technical field [0001] The invention belongs to the field of electric power Internet of Things, and in particular relates to a resource scheduling method based on game theory in a power Internet of Things system. Background technique [0002] Human demand for electricity has increased substantially in recent years, but traditional power distribution networks are inefficient. The power Internet of Things is a next-generation power distribution network composed of power control centers, transmission lines, substations, transformers, and users. It is able to integrate green power resources such as solar energy and wind energy into the energy distribution system, control power usage and balance energy loads. It uses the two-way flow of electricity and information to create an automated and distributed advanced energy delivery network, providing a fully observable energy distribution process, service providers and consumers can monitor and control its pricing, production and con...

AI Technical Summary

Problems solved by technology

However, the existing relevant literature only considers sending the data of the smart meter directly to the access point, and does not consider further optimizing the energy consumption of the transmission process.

At the same time, the computing resources of smart meters are limited. When it is necessary to deal with computing-intensive tasks, relying solely on their own computing resources will bring huge delays and energy consumption.

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