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Ubiquitous power Internet of Things access method based on matching learning

A technology of power Internet of Things, access method, applied in electrical components, machine-to-machine/machine-type communication services, transmission systems, etc., and can solve problems such as performance loss

Active Publication Date: 2020-05-15
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, they rely on uncertain context parameters and may suffer severe performance penalties if the actual probability distribution of the uncertain factors is inconsistent with the assumed statistical model

Method used

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  • Ubiquitous power Internet of Things access method based on matching learning
  • Ubiquitous power Internet of Things access method based on matching learning
  • Ubiquitous power Internet of Things access method based on matching learning

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Embodiment Construction

[0090] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0091] Such as figure 1 As shown, a matching learning-based ubiquitous power Internet of Things access method includes the following steps:

[0092] S1. Build a system model:

[0093] Such as figure 2 As shown: a base station service cell includes a base station and an edge server, and the two are similarly distributed. The base station provides connection services for K MTDs in the cell, and the edge server provides computing services. Among them, K MTDs are defined as: M={m 1 ,...,m k ,...,m K};

[0094] There are a total of J orthogonal sub-channels, defined as: C={c 1 ,...,c j ,...,c J}

[0095] The time slot model is adopted here, that is, the entire optimization time is divided into T small time intervals with a length of ...

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Abstract

The invention discloses a ubiquitous power Internet-of-Things access method based on matching learning. The method comprises the following steps: S1, constructing a system model; S2, refining the model to obtain a task / data transmission model, an energy consumption model, a time delay model and a service reliability model; S3, maximizing long-term throughput, and determining an optimization problem; S4, based on the theory of the virtual queue and the Lyapunov optimization theory, converting the optimization problem; and S5, realizing the optimization of channel selection through learning andmatching, and further realizing the maximization of throughput. According to the invention, the optimal channel selection is realized through learning and matching, so that the maximization of throughput is realized, based on an MAB theory, a lyapunov optimization theory and a matching theory, energy perception and service reliability perception are combined with machine learning, so that the maximum and optimal energy utilization rate and service reliability are achieved.

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 matching learning. Background technique [0002] The fourth industrial revolution aims to achieve interconnected response, intelligence and self-optimization of manufacturing processes and systems through the seamless integration of advanced manufacturing technologies and the Industrial Internet of Things. In this new paradigm, billions of machine-type devices (MTDs) will be deployed to continuously perform various tasks such as monitoring, billing, and protection, among others. However, the conflict between resource-limited MTD and computationally intensive tasks has become a bottleneck in providing reliable services. [0003] Offloading computationally intensive tasks from resource-constrained MTDs to powerful edge servers offers a promising solution for accommodating rapidly growing comput...

Claims

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Application Information

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IPC IPC(8): H04B17/382H04B17/391H04W4/70H04W24/02
CPCH04B17/382H04B17/391H04W4/70H04W24/02Y02D30/70
Inventor 周振宇潘超廖海君刘念汪中原
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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