期刊文献+

基于模糊决策的无线传感网络导标引力移动模型 被引量:1

Gravitation model for beacon movement based on fuzzy decision for wireless sensor networks
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摘要 针对节点随机分布的无线传感器网络,提出一种基于模糊决策的导标引力移动模型.利用收集到的节点信息,根据构建的虚拟引力规则,调整移动方向及移动速率.仿真结果表明,该路径规划方法适应网络拓扑,可缩短导标遍历过程中的路径长度,提高路径的有效率,节省能量开销. For wireless sensor networks (WSN) with nodes ran- dom distribution, a gravitation model for beacon" movement based on fuzzy decision was proposed. The beacon adjusted its motion direction and speed according to the nodes' information gathered and the rules of the virtual force. Simulation results show that the proposed method can adapt the network topology, which shortens the path length of beacon traversing the whole network, while enhancing the path's validity and saving the en- ergy consumption.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2012年第2期84-86,共3页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(60703099) 武汉市青年科技晨光计划项目(200950431206)
关键词 无线传感器网络(WSN) 路径规划 模糊决策 移动导标 虚拟引力 wireless sensor networks (WSN) path planning fuzzy decision mobile beacon virtual gravitation
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参考文献9

  • 1WANG J, GHOSH R K, DAS S ization [ J]. Journal of Control 2010, 8(1): 2 - 11. A survey on sensor local Theory and Applications,.
  • 2付琴,陈伟,刘克中.面向WSN的移动信标辅助定位方法[J].武汉理工大学学报(信息与管理工程版),2010,32(2):189-192. 被引量:3
  • 3ZHANG B L, YU F Q, ZHANG Z S. An improved local- ization algorithm for wireless sensor network using a mobile anchor node [C] // Asia- Pacific Conference on Informa- tion Processing. Piscataway, NJ. IEEE Computer Society, 2009 .. 485 - 488.
  • 4李硕,姚建明,陈维克,李文锋.基于移动信标的无线传感器网络混合节点定位算法[J].机电一体化,2010,16(5):54-57. 被引量:2
  • 5KOUTSONIKOLAS D, DAS S, HU Y. Path planning of mobile landmarks for localization in wireless sensor net- works [C] // Proc Int Conf Distrib Comput Syst. Piscat- away, NJ: Institute of Electrical and Electronics Engineers Inc. , 2006:86 - 86.
  • 6李石坚,徐从富,杨旸,潘云鹤.面向传感器节点定位的移动信标路径获取[J].软件学报,2008,19(2):455-467. 被引量:24
  • 7LI H J, WANGJ W, LI X, et al. Real-time path planning of mobile anchor node in localization for wire[ess sensor net- works [C] // Proc. IEEE Int Conf Inf Autom, ICIA. Pis- cataway, NJ- Inst of Elec and Elec Eng Computer Society, 2008 : 384 - 389.
  • 8KIM K, JUNG B, LEE W J, et al. Adaptive path plan- ning for randomly deployed wireless sensor networks [ J ]. Journal of Information Science and Engineering, 2011, 27(3) : 1091 - 1106.
  • 9刘克中,熊迹.面向WSN节点定位的多移动导标节点路径规划[J].武汉理工大学学报(信息与管理工程版),2010,32(6):864-868. 被引量:3

二级参考文献29

  • 1王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:672
  • 2李石坚,徐从富,吴朝晖,潘云鹤.面向目标跟踪的传感器网络布局优化及保护策略[J].电子学报,2006,34(1):71-76. 被引量:25
  • 3HIGHTOWER J,GAETANO B.Location systems for ubiquitous computing[J].IEEE Trans on Computer,2001,34(8):57-66.
  • 4LEE J.An experiment on performance study of IEEE 802.15.4 wireless networks[C]//Proceeding of the 10th IEEE Emerging Technologies and Factory Automarion.Catania:[s.n.],2005:19-22.
  • 5SSU K F,OU C H,JIAU H C.Localization with mobile anchor points in wireless sensor networks[J].IEEE Trans on Vehicular Technology,2005,54(3):1187-1197.
  • 6SUN G L,GUO W.Comparison of distributed localization algorithms for sensor network with a mobile beacon[C]//Proc of the IEEE Int'l Conf on Networking,Sensing and Control.[S.l.]:[s.n.],2004:536-540.
  • 7SINATH T V.Localization in resource const rained sensor networks using a mobile beacon with in-ranging[C]//IFIP International Conference on Wireless and Optical Communications Networks.[S.l.]:[s.n.],2006:301-305.
  • 8BAHI M,MAKHOUL A,MOSTEFAOUI A.A mobile beacon based approach for sensor network localization[C]//Third IEEE International Conference on Wireless and Mobile Computing,Networking and Communications(WiMob).[S.l.]:[s.n.],2007:365-396.
  • 9DORIGO M.Optimization,learning and natural algorithms[R].Italy:Department of Electronics,Politecnico di Milano,1992.
  • 10SEIDEL S Y,RAPPAPORT T S.914 MHz path loss prediction models for indoor wireless communications in multifloorod buildings[J].IEEE Trans on Antennas and Propagation,1992,40(2):207-217.

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