期刊文献+

基于人工蜂群算法的无线传感器网络路由协议 被引量:3

Wireless sensor network routing protocol based on artificial bee colony algorithm
下载PDF
导出
摘要 近年来,无线传感器网络在实际生活中的应用越来越多,相关技术的研究越来越深入.由于网络中节点常常采用干电池供电,其能量受限.研究表明:通信在网络节点能耗中占比最大,采用合理的路由方式能够减少通信能耗.为延长网络寿命,对人工蜂群算法进行研究,推导出适应度函数,并应用于无线传感器网络簇首节点的选择.同时结合图论中最短路径树的思想,在簇内以簇首节点为树根构建一颗最短路径树,尽可能的保证节点到基站通信所消耗的能量最少.仿真实验表明:相比较LEACH协议,新的分簇路由协议在能耗效率具有更好的性能优势. The wireless sensor network has been widely used in recent years,and the related technology is researched deeply.The energy of nodes is limited,as result of it is powered by batteries in general.A lot of research indicate that communication takes the largest part in the network nodes energy consumption.Reasonable routing protocol can reduce unnecessary energy consumption.In order to prolong the network life-time,the artificial bee colony algorithm has been researched,and the fitness function is derived.The artificial bee colony algorithm is applied in the selection of cluster head nodes of wireless sensor networks.At the same time,according to the shortest path algorithm in graph theory,a shortest path tree is constructed using cluster head nodes in the cluster.It will ensure the energy consumption of communication minimal between nodes and base station.The results of the experiments show that the proposed routing protocol based clusterer has better performance in energy efficiency than the protocols based on LEACH.
出处 《浙江工业大学学报》 CAS 2014年第5期577-580,585,共5页 Journal of Zhejiang University of Technology
关键词 人工蜂群算法 无线传感器网络 最短路径树 分簇 路由 artificial bee colony algorithm wireless sensor networks shortest path tree cluster routing
  • 相关文献

参考文献12

  • 1周晓,李杰,边裕挺.基于无线传感网络的环境温度监测系统设计[J].浙江工业大学学报,2013,41(4):440-443. 被引量:20
  • 2周晓,边裕挺,李杰.基于Android智能终端的WSN监控系统[J].浙江工业大学学报,2013,41(5):558-561. 被引量:9
  • 3陆欢佳,俞立,董齐芬,潘浩,叶灵洁.基于无线传感网的楼宇环境监测系统设计[J].浙江工业大学学报,2011,39(6):683-687. 被引量:9
  • 4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.
  • 5SALEEM 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.
  • 6KENNEDY J,EBERHART R.Particle swarm optimization[C]//Proceedings of IEEE International Conference on Neural Networks.Perth:IEEE Neural Networks,1995:1942-1948.
  • 7DORIGO 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.
  • 8PASSINO K M.Biomimicry of bacterial foraging for distributed optimization and control[J].IEEE Control Systems Magazine,2002,22(3):52-67.
  • 9KARABOGA D.An idea based on honey bee swarm for numerical optimization[R].Kayseri:Computer Engineering Department of Erciyes University,2005.
  • 10DELAVA A G,JAVIZ E.A routing algorithm based on bee colony for energy consumption reduction in wireless relay networks[J].International Journal of Ad Hoc,Sensor & Ubiquitous Computing,2012,3(4):1-9.

二级参考文献20

  • 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.
  • 4KAPPLER 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.
  • 5VIPUL 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.
  • 6MATTEO 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.
  • 7敦旭锋,田丰,孙小平.无线传感器网络节点的研究与设计[J].沈阳航空工业学院院报,2007,24(5):61-64.
  • 8XU Yong, PENG Xi-yuan. GEMS: a WSN-based greenhouse environment mon{toring system[C]//lnstrumentation and Measurement Technology Conference (I2MTC). New York: IEEE Press,2011 : 1-6.
  • 9MING Den-ga, CHEN Qin-hua. Coal and gas outburst moni- toring system based on WSN[J]. Procedia Engineering,2010, 7:387-391.
  • 10ALIPPI C, CAMPLANI R, GALPERTI C, et al. A robust a- daptive solar-powered WSN framework for aquatic environ- mental monitoring[J] Sensors Journal, 2011,11 (1) : 45-55.

共引文献43

同被引文献23

引证文献3

二级引证文献12

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