期刊文献+

延迟容忍无线传感器网络动态数据传输

Adaptive Data Delivery Scheme in Delay Tolerant Sensor Network
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摘要 分析现有经典延迟容忍移动无线传感器网络DTMSN(Delay Tolerant Mobile Sensor Networks)数据收集算法。提出了一种基于选择复制的动态数据传输策略ASRAD(Advanced Selective Replication based Adaptive Data Delivery Scheme)。其基本思想是把数据消息动态的复制给更有可能与汇聚点通信的传感器节点以达到尽量增大传输成功率和降低传输能耗的目的。ASRAD由数据传输和队列管理两个主要部分组成。 This dissertation proposes a new data gathering method-ASRAD(Advanced Selective Replication—based Adaptive Data Delivery Scheme).ASRAD achieves a goodnetwork performance by replicating messages selectively to nodes that has the higherprobability of meeting the sink.The key components of ASRAD is congsist of data transmission and queue management.
出处 《火力与指挥控制》 CSCD 北大核心 2012年第1期82-86,90,共6页 Fire Control & Command Control
基金 国家部委预研基金(513160303) 国家部委基金资助项目(9140A16020106JB33)
关键词 DTN DTSN DTMSN 动态数据传输策略 DTN DTSN DTMSN adaptive data delivery scheme
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参考文献7

  • 1Fall K A D. Tolerant Network Architecture for Challenged Interacts [M]. Proceedings of ACM SIGCOMM 2003 Conference on Computer Communications. New York :ACM, 2003 : 27-34.
  • 2Wang Y , Lin E , Wu H. Poste : Efficient DataTransmission in Delay Fault Tolerant Mobile Sensor Networks (DFT-MS) CM]. Proceedings of IEEE International Conference on Network Protocols (ICNP' 05). Washington: IEEE Computer Society, 2005.
  • 3Camp T, Boleng J, Davies V. A Survey of Mobility Models for Ad Hoe Network Research[J]. Wireless CommunicationMobile Computing, 2002, 2 ( 5 ) : 483-502.
  • 4曾光字,张志伟,张存林.光电检测技术[M].北京:清华大学出版社,2005.
  • 5Akyildiz I F, Su W, Sankarasubramaniam Y, et al. Wireless Sensor Networks:A Survey[J]. Computer Networks, 2002,8(4) z 393-422.
  • 6崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 7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:1709

二级参考文献116

  • 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.

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