基于遗传退火算法的无线传感数据采集研究

Study on Wireless Sensing Data Acquisition Based on Genetic Annealing Algorithm

随着科技的进步与社会的发展,无线传感网络进入高速发展阶段,越来越多的学者开始对无线传感网络数据采集进行研究。本文根据目前存在的研究方法,提出了一种基于无线传感网络数据采集的改进退火算法,该算法在传统模拟退火算法的基础上,引入遗传算法,改进种群的多样性,对收敛性进行优化,从而加强建筑结构监测的精确度。对比测试结果表明,基于改进退火算法的无线传感网络数据采集在实际过程中切实有效,可以对数据采集做到科学、精确的检测效果。

With the development of technology and society, wireless sensing network steps up its pace and more and more researchers are conducting the study on the wireless sensing network data acquisition. In light of current research methods, this paper proposes an improved annealing algorithm based on data acquisition for wireless sensing network. It introduces the genetic algorithm on the basis of traditional simulated annealing algorithm, improves the variety of population and optimizes the convergence so as to increase the accuracy of architectural structure monitoring. The comparison tests show that the wireless sensing network data acquisition based on improved annealing algorithm is efficient and precise in practice.