遗传算法的matlab编码的无线传感器网络节点我要分享

Wireless sensor network node based on MATLAB coding of genetic algorithm

遗传算法 无线传感器 网络节点

关注次数: 650

下载次数: 2

文件大小: 88KB

代码分类: Simulink仿真

开发平台: matlab

下载需要积分: 5积分

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代码描述

中文说明:

应用背景

该代码是非常有用的遗传算法在无线传感器网络中的实施,并使用遗传密码,也获得了性能的网络。在这个模型中的启发式方法是非常想获得的性能的有用和有助于实现更好的效率。这也提供了一个精确的输出结果的三维图像表示。


关键技术

在这里所使用的技术是遗传算法,它是在无线通信中,特别是在无线传感器网络中的一个主要的影响。基本上在无线传感器网络的背景,功率消耗,所需的能量传输的传感数据的重要参数,必须考虑。在这种遗传算法中,这种思想是利用系统的信息传输,用较少的开销和数据丢失的能量来有效地利用能量。



English Description:

Application background
The code is very useful for the implementation of genetic algorithm in wireless sensor networks, and the use of genetic cryptography also achieves the performance of the network. The heuristic method in this model is very much wanted to get the performance useful and help to achieve better efficiency. This also provides an accurate 3D image representation of the output results.
key technology
The technology used here is genetic algorithm, which is a major influence in wireless communication, especially in wireless sensor networks. Basically, in the background of wireless sensor networks, power consumption, the energy required to transmit the important parameters of sensor data must be considered. In this kind of genetic algorithm, the idea is to use the information transmission of the system, and to use the energy effectively with less cost and data loss.


代码预览

GenAlgo

GenAlgo\ag.asv

GenAlgo\ag.m

GenAlgo\application.fig

GenAlgo\application.m

GenAlgo\BIT2NUM.M

GenAlgo\BLACKBG.M

GenAlgo\demarrerapplication.asv

GenAlgo\demarrerapplication.fig

GenAlgo\demarrerapplication.m

GenAlgo\EVALEACH.M

GenAlgo\EVALPOPU.M

GenAlgo\FCN.m

GenAlgo\fonction.m

GenAlgo\GO_GA.asv

GenAlgo\GO_GA.M

GenAlgo\grphes.fig

GenAlgo\grphes.m

GenAlgo\image.JPG

GenAlgo\mafonc.m

GenAlgo\NEXTPOPU.M

GenAlgo\OBJFCN.asv

GenAlgo\OBJFCN.M

GenAlgo\parametres.mat

GenAlgo\parmetres.mat

GenAlgo\PEAKSFCN.asv

GenAlgo\resultats.mat

GenAlgo\Thumbs.db

GenAlgo\xopts(i).mat

GenAlgo\xyopt.asv

GenAlgo\xyopt.fig

GenAlgo\xyopt.m

GenAlgo\yopts(i).mat