电子科技大学学报2017，Vol.46Issue(6)：825-829,840,6.DOI:10.3969/j.issn.1001-0548.2017.06.005
WSN铀尾矿库核污染监测GAF交圆改进型路由
An Improved Routing Algorithm Based on Intersecting Circle and GAF for Uranium Tailings Nuclear Pollution Monitoring in WSN
摘要
Abstract
In monitoring for uranium tailing, wireless sensor network (WSN) is superior to traditional line layout. Due to energy constraint, it is necessary to use energy efficiently in routing. After analyzing low energy adaptive clustering hierarchy (LEACH) and geographical adaptive fidelity (GAF) algorithms, an improved routing algorithm based on intersecting circle amd GAF is proposed. It uses location information of nodes and intersecting circle model to separate monitoring areas into a grid of circle. Cluster heads selection is carried out with surplus energy and distance to the virtual circle center. And, cluster heads choose the most optimal next hop to transmit information. The simulation results show that the algorithm can balance energy consumption effectively and extend network lifetime.关键词
节点能耗/路由算法/铀尾矿库/无线传感器网络Key words
energy consumption/routing algorithm/uranium tailing/wireless sensor network分类
信息技术与安全科学引用本文复制引用
余修武,张枫,范飞生,周利兴,叶勇军,郭倩..WSN铀尾矿库核污染监测GAF交圆改进型路由[J].电子科技大学学报,2017,46(6):825-829,840,6.基金项目
湖南省重点研发项目(2015SK2005) （2015SK2005）
湖南省教育厅科研重点项目(15A161) （15A161）
江西省自然科学基金(20122BAB201050) （20122BAB201050）
江西省科技厅科技支撑项目(20121BBG70065) （20121BBG70065）
江西省教育厅科技项目(GJJ12667) （GJJ12667）
