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Clustering method and clustering device of wireless sensor network based on genetic algorithm optimization

A wireless sensor and genetic algorithm technology, applied in the field of wireless sensor networks, can solve the problems of increasing the computing burden of nodes and increasing the computing power of nodes, so as to reduce the computing burden and ensure the high performance of the network.

Active Publication Date: 2019-03-01
GREE ELECTRIC APPLIANCES INC
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Problems solved by technology

However, it is necessary to determine the region to which the current node belongs in each round, which increases the computing power of the node and increases the computing burden of the node

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  • Clustering method and clustering device of wireless sensor network based on genetic algorithm optimization
  • Clustering method and clustering device of wireless sensor network based on genetic algorithm optimization
  • Clustering method and clustering device of wireless sensor network based on genetic algorithm optimization

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Embodiment Construction

[0051] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0052] The LEACH (Low Energy Adaptive Clustering Hierarchy) algorithm is an algorithm based on the LEACH protocol. The LEACH algorithm is an adaptive clustering topology algorithm. Its execution process is periodic. Each cycle is divided into a cluster establishment phase and stable data. Communication phase.

[0053] The basic ide...

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Abstract

The invention provides a clustering method and a clustering device of a wireless sensor network based on genetic algorithm optimization. An optimal weight is calculated based on a genetic algorithm, the weight is multiplied by the weight of a LEACH algorithm, thus, one optimal weight which adapts to sensor distribution in the current wireless sensor network and adapts to a preset network performance optimization direction is obtained, the optimal weight is substituted into the LEACH algorithm to perform clustering for the wireless sensor network, a threshold value is multiplied by one optimalweight, thereby the number of nodes selected as cluster header nodes of the current round of the LEACH algorithm can be optimized, operation load of the nodes in the wireless sensor network is reduced, and high performance of the network in the whole data transmission process is guaranteed.

Description

Technical field [0001] The embodiments of the present invention relate to the technical field of wireless sensor networks, and in particular to a clustering method and device for wireless sensor networks optimized based on genetic algorithms. Background technique [0002] With the advent of the Internet of Things era, the types of wireless sensors in life are becoming more and more abundant, the number of wireless sensors is gradually increasing, and the structure of wireless sensor networks is becoming more complex and larger in scale. The contradiction is that people have higher and higher requirements for the communication quality of wireless sensor networks, which requires that wireless sensor networks should be designed to consider the life cycle of the network and the patency of the network. Hidden dangers affecting network performance. At this time, there are two general solutions: the first is to design the network structure to improve network performance at the beginnin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/04H04W84/18
CPCH04W40/04H04W84/18
Inventor 陈济洲陈灿坚覃广志
Owner GREE ELECTRIC APPLIANCES INC
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