[1]余修武,张枫,范飞生,等.基于铀尾矿库核素污染监测WSN分簇路由协议[J].中国安全生产科学技术,2016,12(10):154-159.[doi:10.11731/j.issn.1673-193x.2016.10.026]
YU Xiuwu,ZHANG Feng,FAN Feisheng,et al.Study on clustering routing protocol of WSN for radionuclide contamination
monitoring in uranium tailings[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(10):154-159.[doi:10.11731/j.issn.1673-193x.2016.10.026]
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基于铀尾矿库核素污染监测WSN分簇路由协议
YU Xiuwu,ZHANG Feng,FAN Feisheng,et al.Study on clustering routing protocol of WSN for radionuclide contamination monitoring in uranium tailings[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(10):154-159.[doi:10.11731/j.issn.1673-193x.2016.10.026]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 12
- 期数:
- 2016年10期
- 页码:
- 154-159
- 栏目:
- 现代职业安全卫生管理与技术
- 出版日期:
- 2016-10-30
文章信息/Info
- Title:
- Study on clustering routing protocol of WSN for radionuclide contamination monitoring in uranium tailings
- Keywords:
- radionuclide contamination; wireless sensor network; forward transmission; ant colony algorithm; routing protocol
- 分类号:
- X936
- 文献标志码:
- A
- 摘要:
- 用WSN对铀尾矿库核素污染监测优于传统有线布置，为解决无线传输路由能耗的问题，提出了一种基于蚁群算法的前向传输分簇路由协议。该协议以分簇的方式来减少数据发送量与寻优开销，在下一跳接收节点选择阶段，以前向传输区域为切入点，利用优化的蚁群算法进行多路径搜索最后选出满足条件的最优路径。仿真实验表明，CFTA协议的网络生存周期有效延长，并减小了能耗。
- Abstract:
- The monitoring of radionuclide contamination in uranium tailings through wireless sensor network (WSN) is better than that by traditional wired layout. To solve the problem about energy consumption of wireless transmission routing, a forward transmission clustering routing protocol based on ant colony algorithm was proposed. This protocol takes the way of clustering to reduce the data transmission quantity and the optimization cost. In the period of next-hop receiving node selection, taking the forward transmission region as entry point, the optimized ant colony algorithm is applied to carry out multi-path search, and the optimum path meeting the conditions can be obtained. The simulation experiments showed that the CFTA protocol can effectively prolong the network lifetime and reduce the energy consumption.
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备注/Memo
- 备注/Memo:
- 湖南省重点研发项目(2015SK2005);湖南省教育厅科研重点项目(15A161);江西省自然科学基金(20122BAB201050);江西省科技厅科技支撑项目(20121BBG70065);江西省教育厅科技项目(GJJ12667);南华大学博士科研基金项目(2013XQD12)；湖南省研究生科研创新项目(CX2016B453)
