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A multi-population co-evolution method for optimizing the topology of wireless sensor networks

A wireless sensor network and wireless sensor technology, applied in the field of multi-population co-evolution, can solve problems such as poor robustness, and achieve the effect of improving robustness and survivability

Active Publication Date: 2020-01-14
DALIAN UNIV OF TECH
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Problems solved by technology

[0005] The present invention mainly solves the technical problem that the wireless sensor network in the prior art has poor robustness against malicious attacks, and proposes a multi-population cooperative evolution method for optimizing the topology of the wireless sensor network, based on complex network theory, combined with scale-free The relevant technical characteristics of the network make the network topology have high robustness in the face of random attacks and malicious attacks

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  • A multi-population co-evolution method for optimizing the topology of wireless sensor networks
  • A multi-population co-evolution method for optimizing the topology of wireless sensor networks
  • A multi-population co-evolution method for optimizing the topology of wireless sensor networks

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[0042] In order to make the technical problems solved by the present invention, the technical solutions adopted and the technical effects achieved clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only parts related to the present invention are shown in the drawings but not all content.

[0043] figure 1 It is an implementation flowchart of a multi-population co-evolution method for optimizing the wireless sensor network topology provided by the present invention. Such as figure 1 As shown, the method provided by the embodiment of the present invention includes:

[0044] Step 100, generate population individuals based on the source topology of the initial scale...

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Abstract

The invention relates to the field of robustness optimization of network topology and provides a multi-population coevolution method for optimizing wireless sensor network topology. The method comprises the following steps: (S100) generating initial individuals of each population based on source topology; (S200) selecting parent individuals from each population, and carrying out crossover operator operation, so as to generate new filial generations; (S300) randomly selecting a certain number of individuals from the individuals of the populations, and carrying out mutation operator operation; (S400) after crossover mutation of each population is finished, carrying out fitness function screening, and selecting outstanding individuals for the next generation; (S500) carrying out immigration among the populations, so as to generate gene exchange among the populations; and (S600) circularly carrying out the steps (200) to (500), storing the most individual topology in each generation, judging the number of evolution generations, and exiting the circulation after reaching a set number of evolution generations.

Description

technical field [0001] The invention relates to the field of network topology optimization, in particular to a multi-population co-evolution method for optimizing wireless sensor network topology. Background technique [0002] The Internet of Things technology is a huge complex that integrates multiple disciplines, including WSNs, embedded systems, topology query, intelligent control, data processing, and task scheduling. The Internet of Things has become more and more demanding in recent years. It usually deploys a large number of sensor nodes in a certain geographical area. These nodes communicate with each other to form a network system to monitor and control physical variables in the environment, such as temperature. , sound, light, etc., and can independently complete specified tasks according to environmental needs. In recent years, due to the advantages of wireless sensor networks such as wireless connection and self-organization, the application environment has not ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04W24/04H04W84/18
CPCH04L41/12H04L41/142H04L41/145H04W24/04H04W84/18
Inventor 邱铁韩敏刘杰陈宁
Owner DALIAN UNIV OF TECH
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