Ubiquitous power Internet of Things access method based on context awareness learning

Abstract

The invention discloses a ubiquitous power Internet of Things access method based on context awareness learning. The method comprises the following steps: S1, constructing a system model; S2, refiningthe constructed system model to obtain a task data / transmission model, an energy consumption model and a time delay model; S3, constructing an optimization problem based on maximization of equipmentenergy efficiency; S4, based on the theory of the virtual queue and the Lyapunov optimization theory, converting the optimization problem; S5, realizing the optimization of channel selection through learning, and further realizing the maximization of energy efficiency. Based on the Lyapunov optimization theory, energy perception and service reliability perception are combined with learning, so themaximum and optimal energy utilization rate and service reliability can be achieved through learning, and the utilization efficiency of network energy and the reliability of network service are improved.

Description

technical field [0001] The invention relates to the electric power Internet of things, in particular to a method for accessing the ubiquitous electric power Internet of things based on context-aware learning. Background technique [0002] In the power Internet of Things, a large number of machines and equipment are required to realize automatic data collection, real-time data processing, and automatic optimization of energy management solutions. In such a working mode, these machines and devices will generate a large number of data tasks, and these tasks must be processed in real time to ensure the stable operation of the entire network. However, the resources of each machine device are limited, so there is a contradiction between a large number of tasks and limited resources. Edge computing can enable machines and devices to offload intensive computing tasks to nearby edge servers with powerful computing capabilities, thus becoming a promising solution to the above contrad...

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Problems solved by technology

[0003] At present, the channel selection scheme mainly includes the following two types. One is the channel selection scheme based on matching theory. The premise of this scheme is to know the global information of the network, and use a method similar to exhaustive matching to select the optimal choice. The information cost of the scheme is high, and the realizability is low in reality; the other is the channel selection scheme based on EXP3, but this scheme has no service reliability and energy perception, the overall energy utilization rate is low, and the service reliability is low

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