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N policy-based Internet of things cooperation node power control method

A cooperative node and power control technology, applied in the field of Internet of Things, can solve the problems of increasing node delay sleep, node delay start, not fully considering node sleep and business performance improvement, node delay sleep, etc.

Inactive Publication Date: 2017-01-04
辛建芳
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  • Application Information

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Problems solved by technology

[0009] Aiming at the problems that the existing power control method of collaborative nodes of the Internet of Things does not fully consider the relationship between node sleep and business, such as performance improvement, node delay sleep, node delay start, and practical application of low-complexity algorithms, the present invention proposes a The power control method of IoT collaborative nodes based on the N strategy comprehensively considers the relationship between node sleep and business, increases the practical problems of node delay sleep and node delay start, assists low-complexity iterative algorithms, and maximizes network performance

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Embodiment 1

[0077] Step 1: cooperative node service queuing model;

[0078] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. Such as figure 1 As shown, in the existing Internet of Things, due to the deployment of a large number of nodes, a large amount of data needs to be transmitted. Due to the low energy consumption of the nodes themselves, the data often cannot be transmitted in a point-to-point manner. With the rapid increase of data volume, the energy consumption of cooperative nodes has attracted more and more attention. Among them, the sleep strategy is a very important means for cooperative nodes to reduce energy consumption. Considering that the business load in the Internet of Things fluctuates approximately according to daily and weekly changes and obeys certain rules, we consider introducing queuing theory, and shutting down cooperative n...

Embodiment 2

[0117] The present invention further improves on the basis of Embodiment 1, and improves the solution efficiency of the optimization problem P1. The present invention proposes a new idea of ​​solving the optimization problem P1, and adopts the Lagrangian multiplier method to search for optimization, and the speed is faster. Faster and less algorithmic complexity. Specifically, the solution of the optimization problem P1 can adopt the Lagrangian factor method:

[0118]

[0119] Reunited And use the subgradient method to solve it iteratively, where β represents the Lagrangian factor.

[0120] On the basis of using the Lagrange multiplier algorithm, we can use the subgradient method in each iteration of the cycle, and choose a gradual step length to make the optimization more accurate. Specifically, the iterative update method of the Lagrangian factor β in the Lagrangian form of the optimization problem P1 adopts a subgradient algorithm, which has lower complexity and is mo...

Embodiment 3

[0125] Embodiment 1 and Embodiment 2 solve the optimization problem P1, and the optimized variable is the average arrival number K of data packets in a vacation period V and the average energy consumption over a vacation period Then, in order to further guide the engineering practice and better control the energy-saving control parameters of collaborative nodes, we need to dig deeper into other control parameters and try to simplify the calculation amount of the optimal algorithm.

[0126] Next, we analyze formula (6) again, and notice that there is an important parameter K in the average stay time T V , in-depth research found that we can obtain the average arrival number K of data packets in a vacation period V The Z-transform of

[0127]

[0128] in, The superscript N of represents the N-strategy hibernation strategy of the present invention. It is important to note that, given the distribution of start-up and rest periods, D * (λ) determines directly Therefor...

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Abstract

The invention discloses an N policy-based Internet of things cooperation node power control method, which belongs to the technical field of Internet of things. The method comprises steps: a cooperation node service queuing model is built; a cooperation node energy consumption model is built; a queuing theory is adopted to analyze the system performance; and a convex optimization theory is used for solving the optimal cooperation node energy consumption problem in a delay tolerant threshold. Compared with the previous Internet of things node life cycle prolonging method, the N policy-based cooperation node dormancy method focuses on research on the cooperation node from reality, while the node energy consumption is reduced as much as possible, the average delay of the system is also considered, compromise between the node energy consumption and the average delay of a data packet can be made, and a realistic guiding significance is realized when the relation between the node dormancy and the service is integrally considered.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and more specifically relates to an N-strategy-based power control method for cooperative nodes of the Internet of Things. Background technique [0002] In real life, simple IoT applications have appeared in our daily life. In some supermarkets, some commodities have used RFID TAG technology to replace the previous barcodes to identify and track the storage and circulation of commodities. The toll system of some highways has also been improved, and the toll can be charged by automatically identifying vehicles. . In the fields of military and civil aviation, the identification of high-altitude aircraft and the identification of friend or foe are also successful applications of Internet of Things technology. With the continuous development and maturity of IoT technology, more IoT technologies will be applied in our daily life. There are many key issues restricting the development ...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W52/24H04W52/34H04W52/36
CPCH04W52/0216H04W52/241H04W52/346H04W52/365Y02D30/70
Inventor 辛建芳
Owner 辛建芳
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