计算机应用研究2012，Vol.29Issue(5)：1860-1862,1866,4.DOI:10.3969/j.issn.1001-3695.2012.05.069
一种模拟退火遗传算法的传感器网络数据融合技术研究
Research on wireless sensor networks data aggregation on simulated annealing genctic algorithm
摘要
Abstract
This paper researched the wireless sensor network ( WSN) data fusion. Sensor node computing ability and communication ability were limited. WSN used overlapping deployment, leading to large redundant data quantity, so as to use the data fusion technology to eliminate redundancy and invalid data, save network communication energy. Combination of genetic algorithm and simulated annealing algorithm for global search and local search advantages, this paper proposed a simulated annealing genetic algorithm ( SA-GA ) WSN data fusion method. By using simulated annealing genetic algorithm, it could quickly find the mobile agent routing optimal sensor node sequence and fuse the data. The simulation results show that, comparing with the genetic algorithm and simulated annealing algorithm, SA-GA can quickly find optimal data fusion node sequence, integrate the data effectively, and it has smaller energy consumption of the network and network delay.关键词
模拟退火算法/遗传算法/无线传感器网络/数据融合Key words
simulated annealing algorithm/genetic algorithm/wireless sensor networks/data aggregation分类
信息技术与安全科学引用本文复制引用
张扬,杨松涛,张香芝..一种模拟退火遗传算法的传感器网络数据融合技术研究[J].计算机应用研究,2012,29(5):1860-1862,1866,4.基金项目
安徽中医学院研究资助项目(zlge200921) （zlge200921）
