期刊文献+

基于无线传感网的楼宇环境监测系统设计 被引量:9

Design of building environment monitoring systems based on wireless sensor network
下载PDF
导出
摘要 为满足楼宇环境监测系统低成本、部署方便等要求,设计了一种层次型结构的无线传感网实现对楼宇环境数据的收集工作.首先阐述系统中传感器节点与汇聚节点的硬件设计,然后,根据楼宇监测的应用背景,设计一种基于IEEE802.15.4/ZigBee协议模型的自组织、低功耗的无线传感网数据收集协议,不仅可以实现上行感知数据的传输,还可用于下行配置参数的传输.最后,实地部署和测试结果表明,系统在数据采集、在线监测和数据管理与分析等方面已达到了设计要求. To meet the requirements of low cost and convenient deployment from the building environment monitoring systems, a hierarchical wireless sensor network is designed to gather building environment data. Firstly, the hardware designs of sensor node and cluster node are explained. Then, a self-organization and low-power data collection protocol in wireless sensor networks specified for building monitoring is proposed, which is based on the IEEES02. 15.4/ ZigBee protocol stacks. The proposed network could, deliver both uplink sense data and configuration parameters with downlink data. Finally, the in situ deployment and testing results show that the system achieves the application requirements well in the aspects of data collection, on-line monitoring, data management and analysis.
出处 《浙江工业大学学报》 CAS 北大核心 2011年第6期683-687,692,共6页 Journal of Zhejiang University of Technology
基金 浙江省教育厅重大科技攻关项目(ZD2007003)
关键词 楼宇环境监测 无线传感网 数据收集 building environment monitoring wireless sensor networks data gathering
  • 相关文献

参考文献7

  • 1TESS D, ELENA G, JAMES B. Wireless sensor networks to enable the passive house-deployment experiences[C]//Smart Sensing and Context. Berlin: Springer,2009 : 177-192.
  • 2WU Shao-min, DEREK C. Understanding the indoor environment through mining sensory data-A case study[J]. Energy and Buildings,2007,39(11) :1183-1191.
  • 3WON-SUK J, WILHAM M, MIROSLAW J. Wireless sensor networks as part of a web-based building environmental monitoring system[J]. Automation in Construction, 2008,17(3): 29-736.
  • 4王结太,许家栋,徐建城.基于蚁群优化算法的无线传感器网络路由协议[J].系统仿真学报,2008,20(18):4898-4901. 被引量:10
  • 5KAPPLER C, RIEGEL G. A real-world, simple wireless sensor network for monitoring electrical energy consumption [C]//Proceedings of 1st European Workshop on Wireless Sensor Networks. Berlin: Springer-Verla,2004:339-352.
  • 6VIPUL S, ANDREAS K, CARLOS G. Intelligent light control using sensor networks[C]//Proeeedings of the 3rd International Conference on Embedded Networked Sensor Systems. San Diego : ACM, 2005 : 218-229.
  • 7MATTEO C, I.UCA M, GIAN P, et al. Monitoring heritage buildings with wireless sensor networks: The torre aquila deployment[C]//Proceedings of the 2009 International Conference on Information Processing in Sensor Networks. San Francisco : IEEE Computer Society, 2009 : 277 288.

二级参考文献7

  • 1王颖,谢剑英.一种自适应蚁群算法及其仿真研究[J].系统仿真学报,2002,14(1):31-33. 被引量:232
  • 2李闻,林亚平,童调生,陈宇,余建平.传感网络中一种基于蚂蚁算法的分布式数据汇集路由算法[J].小型微型计算机系统,2005,26(5):788-792. 被引量:12
  • 3马溪骏,潘若愚,杨善林.基于信息素递减的蚁群算法[J].系统仿真学报,2006,18(11):3297-3300. 被引量:18
  • 4Colomi A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies [C]// Proceedings of ECAL91-European Conference on Artificial Life. Paris, France: Elsevier Publishing, 1991: 134-142.
  • 5Singh G, Das S, Gosavi S V, Pujar S. Ant Colony Algorithms for Steiner Trees: an Application to Routing in Sensor Networks.[C]//L N de Castro, F J von Zuben eds. Recent Developments in Biologically Inspired Computing, 2003: 183-206.
  • 6Ying Zhang, Lukas D. Kuhn, and Markus EJ. Fromherz, Improvements on Ant Routing for Sensor Networks [C]//ANTS2004, Int. Workshop on Ant Colony Optimization and Swarm Intelligence. Berlin: Springer, 2004: 154-165.
  • 7Camilo T, Carreto C, Silva J S, Boavida E An Energy-Efficient Ant-Based Routing Algorithm for Wireless Sensor Networks [C]// ANTS2006, Int. Workshop on Ant Colony Optimization and Swarm Intelligence. Brussels, B61gica: Springer Verlag, 2006: 49-59.

共引文献9

同被引文献69

  • 1周玉,景博,杨洲.一种基于遗传算法的无线传感器网络LEACH路由协议的改进算法[J].计算机研究与发展,2010,47(S2):175-179. 被引量:19
  • 2吴臻,金心宇.无线传感器网络的LEACH算法的改进[J].传感技术学报,2006,19(1):34-36. 被引量:54
  • 3彭静,刘光祜,谢世欢.无线传感器网络路由协议研究现状与趋势[J].计算机应用研究,2007,24(2):4-9. 被引量:20
  • 4姚向华,杨新宇,易劲刚,等.无线传感器网络原理与应用[M].北京:高等教育出版社,2012.
  • 5杨淑莹,张桦.群体智能与仿生计算-MATLAB技术实现[M].北京:电子工业出版社,2012:157-160.
  • 6SALEEM M,GIANNI A,FAROOQ M,et al.Swarm intelligence based routing protocol for wireless sensor networks:survey and future directions[J].Information Sciences,2011,181 (20):4597-4624.
  • 7KENNEDY J,EBERHART R.Particle swarm optimization[C]//Proceedings of IEEE International Conference on Neural Networks.Perth:IEEE Neural Networks,1995:1942-1948.
  • 8DORIGO M,GAMBARDELLA L M.Ant colony system:a cooperative learning approach to the traveling salesman problem[J].IEEE Transaction on Evolutionary Computation,1997,1(1):53-66.
  • 9PASSINO K M.Biomimicry of bacterial foraging for distributed optimization and control[J].IEEE Control Systems Magazine,2002,22(3):52-67.
  • 10KARABOGA D.An idea based on honey bee swarm for numerical optimization[R].Kayseri:Computer Engineering Department of Erciyes University,2005.

引证文献9

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部