期刊文献+

一种基于蚁群优化的WSN拥塞控制算法 被引量:9

Congestion control algorithm based on ant colony optimization in wireless sensor networks
在线阅读 下载PDF
导出
摘要 针对无线传感器网络中由于拥塞引起的丢包和能量过度消耗等问题,提出了一种基于蚁群优化的拥塞控制算法以减轻WSN中的拥塞和改进网络性能。该算法充分考虑了给定时刻WSN的拥塞状况,分成三个阶段在源节点和sink节点间寻找一条最佳的路径,并及时地消除拥塞。仿真实验结果表明,该算法在网络吞吐量、丢包率、时延和能耗方面具有较好的综合网络性能。 In view of packet loss and excessive energy consumption due to congestion in wireless sensor networks,this paper proposed a congestion control algorithm based on ant colony optimization to reduce congestion scale and improve network performance in WSN.The algorithm was divided into three stages in the given time,and fully considering the congestion status of WSN from source node to sink.The algorithm could timely eliminate congestion and find a best path.Simulation results show that the algorithm can achieve good network performance about network throughput,packet loss,delay and energy consumption.
出处 《计算机应用研究》 CSCD 北大核心 2012年第4期1525-1528,共4页 Application Research of Computers
基金 广东省科技计划项目(2007b010400068) 省部产学研结合项目(2011B090400085)
关键词 无线传感器网络 蚁群优化 拥塞控制 丢包率 能耗 wireless sensor networks ant colony optimization congestion control packet loss ratio energy consumption
  • 相关文献

参考文献11

  • 1AKYILDIZ I F,SU W,SANKARASUBRAMANIAM Y,et al.A sur-vey on sensor networks[J].IEEE Communication Magazine,2002,40(8):102-114.
  • 2任丰原,黄海宁,林闯.无线传感器网络[J].软件学报,2003,14(7):1282-1291. 被引量:1711
  • 3刘拥民,蒋新华,年晓红.无线传感器网络拥塞控制研究[J].计算机应用研究,2008,25(2):565-568. 被引量:4
  • 4WANG C,LI B,SOHRABY K,et al,Upstream congestion control inwireless sensor networks through cross-layer optimization[J].IEEEJournal on Selected Areas in Communications,2007,25(4):786-795.
  • 5DHURANDHER S K,MISRA S,MITTAL H,et al.Using ant-basedagents for congestion control in Ad hoc wireless sensor networks[J].Cluster Computing,2011,14(1):41-53.
  • 6DORIGO M,CARO G D.AntNet:distributed stigmergetic control forcommunications networks[J].Journal of Artificial Intelligence Re-search,1998,9(1):317-365.
  • 7LIU Yuan,MA Zheng-xin,CAO Zhi-gang.A mitigating stagnation-based ant colony optimization routing algorithm[C]//Proc of IEEEInternational Symposium on Communications and Information Technol-ogy.2005:36-39.
  • 8DORIGO M,COLORNI A,MANIEZZO V,The ant system:optimiza-tion by a colony of cooperating agents[J].IEEE Trans on System,Man,and Cybernetics-Part B,1996,26(1):29-41.
  • 9The network simulator NS-2.34[EB/OL].http://www.isi.edu.
  • 10XIE Hui,ZHANG Zhi-gang,NIE Feng.A novel routing protocol inwireless sensor networks based on ant colony optimization[J].Inter-national Journal of Intelligent Information Technology Applica-tion,2010,3(1):1-5.

二级参考文献69

  • 1ALERT. http://www.altersystem.org.
  • 2Bonnet P, Gehrke J, Seshadri P. Querying the physical world. IEEE Personal Communication, 2000,7(5):10-15.
  • 3Noury N, Herve T, Rialle V, Virone G, Mercier E. Monitoring behavior in home using a smart fall sensor. In: Proceedings of the IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Lyon: IEEE Computer Society, 2000.607~610.
  • 4Sensor Webs. http://sensorwebs.jpl.nasa.gov/.
  • 5Shill E, Cho S, Ickes N, Min R, Sinha A, Wang A, Chandrakasan A. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proceedings of the ACM MobiCom 2001. Rome: ACM Press, 2001. 272-286.
  • 6Akyildiz I.F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor network: A survey. Computer Networks, 2002,38(4):393~422.
  • 7Asada G, Dong M, Lin TS, Newberg F, Pottle .G, Kaiser WJ, Marcy HO. Wireless integrated network sensors (WINS) for tactical information systems. In: Proceedings of the 1998 European Solid State Circuits Conference. New York: ACM Press, 1998. 15-20.
  • 8Sohrabi K, Pottie GJ. Performance of a novel self-organization protocol for wireless Ad hoc sensor networks. In: Proceedings of the IEEE 50th Vehicular Technology Conference. Amsterdam, 1999. 1222~1226.
  • 9Sinhua A, Chandrakasan A. Dynamic power management in wireless sensor network. IEEE Design and Test of Computer, 2001,18(2):62~74.
  • 10Lm C, Kim H, Ha S. Dynamic voltage scheduling technique for low-power multimedia application using buffers. In: Proceedings of the International Symposium on Low Power Electronics and Design. California: ACM Portal Press, 2001. 34~39.http://eeserver.korea.ac.kr/-bk21/arch/bk21 conf/26.pdf.

共引文献1713

同被引文献71

  • 1张莉,李金宝.无线传感器网络中基于多路径的可靠路由协议研究[J].计算机研究与发展,2011,48(S2):171-175. 被引量:9
  • 2陈娟,徐力生,徐蒙,张帆.大坝廊道无线传感器网络节点铺设方法[J].沈阳工业大学学报,2015,37(1):109-115. 被引量:7
  • 3吴启祥,胥布工,彭达洲,林庆华,吴仕浩.基于微分先行PI的主动队列管理算法[J].计算机应用,2004,24(11):16-18. 被引量:6
  • 4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
  • 5张吉赞.无线传感器网络中基于多路径的拥塞控制策略[C].http://www.doc88.com/p-389943720021.html.2014.1.24.
  • 6Wan Y C, Eisenman S B, Campbell A T, et al. Siphon: Overload traffic management using multi-radio virtual sinks in sensor networks[C]//Proc of the 3rd ACM Conference off Embedded Networked Sensor Systems(SenSys). San Diego: ACM Press, 2005:116-129.
  • 7Karenos K, Kalogeraki V, Krishnamurthy S V. Cluster- based congestion control for supporting multiple classes of traffic in sensor networks[C]// The 2nd IEEE Workshop -n Embedded Networked 3ensors(EmNetSII). Sydney, 2005.
  • 8B Deb. S RelnForm: forwarding in sensor Bhamagar. B Nath. Reliable information using multiple paths networks[c]. The28thAnnual IEEE Int'l Corf on Local Computer Networks, Bonn, Germany, 2003.
  • 9Kang J, Zhang Y Y, Nath B, et al. Adaptive resource control scheme to alleviate congestion in sensor networks[C]// Proc. Of 1st Workshop on Broadband Advanced Sensor Networks(BASENETS). San Jose: IEEE Press, 2004.
  • 10Kumar R, Rowaihy H, Cao G H, et al.Congestion aware routing in sensor networks[R]. PSU 2006. http://nsrc, cse. psu. edu/tech- report/NAS-TR-0036-2006.

引证文献9

二级引证文献21

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