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Method for optimizing Pareto multiple target deployment of industrial wireless sensor network

A sensor network, industrial wireless technology, applied in wireless communication, network topology, network planning, etc., can solve the problems of poor robustness, increasing the difficulty of industrial wireless sensor network nodes, and not meeting the application requirements of industrial wireless sensors.

Inactive Publication Date: 2014-06-11
SHANGHAI UNIV
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Problems solved by technology

However, in the design of the traditional industrial wireless sensor network deployment method, the sensor nodes or cluster head nodes are deployed at the intersection of the grid, so that the actual deployment does not allow the deviation of the node position, which increases the difficulty of the actual installation of the industrial wireless sensor network nodes and is practical. The robustness in the application is poor, so it does not meet the actual industrial wireless sensor network application requirements

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  • Method for optimizing Pareto multiple target deployment of industrial wireless sensor network
  • Method for optimizing Pareto multiple target deployment of industrial wireless sensor network
  • Method for optimizing Pareto multiple target deployment of industrial wireless sensor network

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Embodiment Construction

[0082] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0083] A kind of industrial wireless sensor network Pareto multi-objective deployment optimization method of the present invention, its operation steps are as follows:

[0084] (1), first obtain the actual space of the industrial site deployed by the industrial wireless sensor network, the size and position of obstacles, and the power of the wireless sensor, and combine the size of the industrial site and the maximum communication distance of the wireless sensor node to determine the accuracy of the grid unit, and divide the monitoring area into Three-dimensional grid, X, Y, and Z respectively correspond to the number of grids obtained by dividing the horizontal, vertical, and vertical space coordinates according to the precision of the grid unit.

[0085] (2), record the number of sensor nodes that need to be deployed in each grid according t...

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Abstract

The invention discloses a method for optimizing Pareto multiple target deployment of an industrial wireless sensor network, and relates to the field of industrial automation and intelligent computing. A new communication model is defined for the two-layer cluster structure industrial wireless sensor network commonly used in the industry, the method for optimizing the Pareto multiple target deployment is provided, the cluster head node deploying position is optimized through the Pareto human study optimization algorithm, and the multi-objective optimization of reliability, real-time performance, economical efficiency and expansibility of the industrial wireless sensor network is achieved by providing redundant cluster heads, optimizing and limiting the hop count to a base station from a sensor node, reducing the number of the cluster heads, balancing the cluster head charge number, and reserving network access ports needed by mobile nodes and upgrading and maintaining of a system.

Description

technical field [0001] The invention relates to two major fields of industrial automation and intelligent computing, in particular to an industrial wireless sensor network Pareto multi-objective deployment optimization method. [0002] Background technique [0003] Today, in order to improve process control efficiency, comply with environmental regulations, and meet the needs of economic goals, industrial automation systems are commonly used in large-scale industrial systems. Over the past few decades, wired industrial communications, such as fieldbus systems and wired HART, have been widely used in factory automation and process automation, increasing the productivity and efficiency of industrial systems. However, installing and routing cables in harsh industrial environments remains difficult and expensive. Especially for industrial remote monitoring, the cost of installing industrial cables is even higher than the cost of the sensor itself. At the same ti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/18H04W84/18
Inventor 王灵周伟峰钱麟王西坤叶程微费敏锐
Owner SHANGHAI UNIV
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