期刊文献+

无线传感器网络中数据融合算法的研究 被引量:2

原文传递
导出
摘要 本文提出一种在无线传感器网络环境下的基于最大生存周期的数据融合算法。该算法将整个网络中的节点构造成一棵以sink节点为根的树结构,算法在构造树的过程中,考虑传输距离最短,每次选择相对于sink节点偏转角最小的节点作为下一跳节点,同时也考虑了节点的剩余能量,实现了负载均衡,最大化了网络的生存时间。
作者 杜菲
出处 《信息与电脑(理论版)》 2011年第6期162-163,共2页 China Computer & Communication
  • 相关文献

参考文献5

二级参考文献24

  • 1王春霞.一种新的Ad hoc网络路由协议[J].微计算机信息,2007,23(3):152-154. 被引量:1
  • 2林恺,赵海,尹震宇,张希元.无线传感器网络路由中的能量预测及算法实现[J].通信学报,2006,27(5):21-27. 被引量:27
  • 3Agre J, Clare L. An integrated architecture for cooperative sensing networks[J]. Computer, 2000, 33(5):106-108.
  • 4Zhao Y J, Govindan R, and Estrin D. Residual energy scan for monitoring sensor networks[C]In: IEEE Wireless Communications and Networking Conference (WCNC'02), March 2002,1:356-362.
  • 5Intanagonwiwat C, Govindan R, Estrin D. Directed diffusion: a scalable and robust communication paradigm for sensor networks[C]. In:Proc. of ACM MobiCom, Boston, MA, 2000,56-67.
  • 6Marco Dorigo, Vittorio Maniezzo, Alberto Colorni. The ant system: optimization by a colony of cooperating agents [C].IEEE Transactions on System, Man, and Cybernetics-Part B,1996,26(1): 1-13.
  • 7Krishnamachari B, Estrin D, Wicker S. Modelling data-centric routing in wireless sensor networks[C]. In: Proc. of IEEE Infocom, 2002.
  • 8Marco D, Duarte-Melo E, Liu M et al. On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data[C]. In: Proc. of International Workshop on Information Processing in Sensor Networks (IPSN),April 2003.
  • 9Garey M R, Johnson D S. Computers and intractability* a guide to the theory of NPcompleteness[C]. Freeman, San Francisco,1979.
  • 10Andreas Savvides, Chih-Chieh Han, and Mani B. Strivastava,dynamic fine-grained localization in adhoc networks of sensors[C]. In Proc. ACM Mobicom, 2001, 166-179.

共引文献18

同被引文献16

  • 1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
  • 2Akyildiz I F,Su W,Sankarasubramaniam Y,et al Wirelesssensor networks :A survey [J]. Computer Networks 2002,38 (4) : 393-422.
  • 3David T,Daniele M. Using wireless sen-sor networks to support intelligent transportation systems[J]. Ad Hoc Networks, 2010,8(5) :462-473.
  • 4Jennifer Y,Biswanath M j,Dipak G. Wire-less sensor network survey [J]. Computer Networks, 2008,52 (12) :2292- 2330.
  • 5Shih E,Cho S H,Ickes N,et al. Energy-efficient link layer for wireless microsensor networks[C]//Proc of theWorkshop on VLSI 2001.Orlando, 2001 : 16-21.
  • 6Ergen S C,Varaiya P. TDMA scheduling algorithms for sensor networks,Part IV[R]. Berkeley:Department of Electrical Engineering and Computer Sciences,University of California,2005.
  • 7Deb K. Evolutionary algorithms for multi-criterion optimization in engineering Design [C]//Proc of Evolutionary Algorithms in Engineering and Computer Science (EUROGEN-99). Chichester.John Wily &Sons, 1999 : 135-161.
  • 8Gandham S,Z Ying,H Qing-feng. Distributed minimal time convergecast scheduling in wireless sensor networks[C]//The 26th Int ConfDistributed Computing Systems (ICDCS06). Lisboa, 2006:165-167.
  • 9Akyildiz I F, Su W, Sankarasubramaniarn Y, et al. Wireless sen- sor networks[J]. Computer Networks, 2010,38 (4) : 393-422.
  • 10Gungor V C, Lu Bin, Hancke G P. Opportunities and Challenges of Wireless Sensor Networks in Smart Grid[C] ff IEEE Trans- actions on Industrial Electronics, VOL. 57,2010 .. 3557-35-64.

引证文献2

二级引证文献8

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