Intelligent electric meter wireless sensor network layout method based on improved grey wolf algorithm

A technology for wireless sensors and smart meters, which can be used in specific environment-based services, wireless communications, electrical components, etc.

Active Publication Date: 2020-08-25
HANGZHOU ELECTRIC EQUIP MFG
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Problems solved by technology

Although a large number of scholars have improved the gray wolf algorithm, the ability of the algorithm to optimize the sensor layout still needs to be improved

Method used

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  • Intelligent electric meter wireless sensor network layout method based on improved grey wolf algorithm
  • Intelligent electric meter wireless sensor network layout method based on improved grey wolf algorithm
  • Intelligent electric meter wireless sensor network layout method based on improved grey wolf algorithm

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Embodiment Construction

[0058] In order to facilitate those skilled in the art to better understand the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The following is only exemplary and does not limit the protection scope of the present invention.

[0059] The standard gray wolf algorithm (GWO algorithm) simulates the hierarchy and hunting behavior of gray wolves in nature. The whole wolf group is divided into four levels: α, β, δ, and ω. The three decision-making wolves are arranged from high to low, and these three decision-making wolves guide the ω group of wolves to search for the target. The hunting behavior of gray wolves is as follows: figure 1 shown. During the optimization process, the wolves update the positions of α, β, δ, ω.

[0060] The distances between the i-th gray wolf individual and α, β, and δ wolves are as follows:

[0061]

[0062]

[0063]

[0064] In formulas ...

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Abstract

The invention discloses an intelligent electric meter wireless sensor network layout method based on an improved grey wolf algorithm. The method comprises the following steps: S1, setting wolf populations including an original population and an assistant population, and initializing parameters including an original population scale M, an assistant population scale M, a maximum iteration frequencyIntermax, a search space dimension N, a search space upper bound ub and a search space lower bound lb; S2, initializing grey wolf positions of the original population and the assistant population; S3,calculating the fitness value of each grey wolf in the original population and the assistant population, and respectively selecting the wolf with the best fitness value in the first three populationsas a decision wolf; S4, disturbing the positions of the decision wolves in the original population and the assistant population; S5, sorting all decision-making wolves in the original population andthe assistance population, and selecting the first three wolves with the highest fitness values; S6, respectively updating the positions of the original population and the assistant population; S7, judging whether an iteration termination condition is met or not: if so, outputting the position of the alpha wolf as a layout coordinate of the wireless sensor, if not, repeating the steps S3 to S6.

Description

technical field [0001] The invention relates to a smart meter sensor layout method, in particular to a smart meter wireless sensor network layout method based on the improved gray wolf algorithm. Background technique [0002] For a long time, the meter reading of electric energy data in power supply enterprises has been manual meter reading, which requires a lot of manpower and material resources, and there are also difficulties and unsightly aspects in the integrated wiring. With the rapid increase of power load, power companies have handed over the power consumption management business of residents in the community to power companies. Therefore, power companies have increased requirements for electric meters. Research on automatic meter reading technology and product development are imperative. [0003] At present, the data acquisition system based on wireless sensor network can collect instrument information such as instrument data through various instruments. This infor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04W24/02
CPCH04W4/38H04W24/02
Inventor 陈建新戚佳金江奕军徐寅飞陈雪菲
Owner HANGZHOU ELECTRIC EQUIP MFG
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