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  • 标题:Cluster Head Selection Optimization of IOT Medical Data Transmission Ant Colony Algorithm
  • 本地全文:下载
  • 作者:Beibei Dong ; Benzhen Guo ; Yanli Ma
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2015
  • 卷号:10
  • 期号:12
  • 页码:297-306
  • DOI:10.14257/ijmue.2015.10.12.30
  • 出版社:SERSC
  • 摘要:According to the standard ant colony algorithm in Internet of things (IOT) medical data transmission path selection, there are the problems of searching time is not long, easy to fall into partial optimization. This paper puts forward a kind of IOT medical data transmission model based on quantum pheromone updating and cluster heads choose optimization ant colony algorithm. First of all, using quantum bit probability amplitude encodes information of each path element, using quantum revolving doors and the route of the ants to update pheromone, then the ant search behavior is concentrated near the optimal solution, and the way of searching and restriction mechanism of avoiding precocious pheromone are combined, and finally optimizing the cluster heads of IOT medical data transmission model with the improved algorithm. The simulation experiments show that, through the pheromone update optimization of standard ant colony algorithm, and after the cluster heads optimization of IOT medical data transmission model, improved ant colony algorithm is more robust compared with the standard algorithm.
  • 关键词:Quantum information; IOT medical treatment; Data transmission; Ant ; colony location; Cluster heads optimization
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