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一种改进退火算法在LEACH成簇机制中的应用

An Improved Anneal Arithmetic in The Application of LEACH Clustering Mechanism
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摘要 退火算法是在无线传感器网络最优簇类的求解中的关键算法,本文在参考其他研究人员在这方面研究成果的基础上,采用模拟退火算法来得到近似最优解,模拟退火算法所得到的解只是近似最优解,为了简单起见,本文称之为最优解。 Anneal arithmetic is the optimal clustering in wireless sensor networks like the key to solving algorithm.In this paper,reference to other researchers in this research,based on simulated Anneal Arithmetic to get approximate optimal solution,Simulated anneal arithmetic are only approximate optimal solution,for simplicity,this is called the optimal solution.
作者 徐卫克
出处 《网络安全技术与应用》 2011年第6期37-39,共3页 Network Security Technology & Application
基金 中国青年政治学院计算机中心基金资助
关键词 退火算法 无线传感器网络 最优簇 LEACH Simulate Anneal Arithmetic Wireless Sensor Networks WSN LEACH
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参考文献9

  • 1Akyildiz I.F,Su W, Sankarasubramaniam Y,Cayirci E.Wireless sensor network:A survey. Computer Networks. 2002.
  • 2fan F.Akyildiz,Weilian Su, Yogesh Sankarasubramaniam and Erdal Cayirci.A survey on sensor networks.IEEE Communications Magazine.Aug 2002.
  • 3Ian F.Akyildiz, Weilian Su.Yogesh Sankarasubramaniam and Erdal Cayirci.Wireless sensor networks:a survey.Computer networks.March 15.2002.
  • 4Key Romer, Friedemann Mattem,ETH Zurich,The Design Space of Wireless Sensor Networks.IEEE Wireless Communications. Dec .2004.
  • 5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:1708
  • 6Agre J,Clare L.An integrated architecture for cooperative sensing networks.IEEE Computer Magazine. 2000.
  • 7Wang.A,Chandrakasan.A.Energy-efficient DSPs for wireless sensor networks.Signal Processing Magazine. IEEE. 2002.
  • 8S.Hedetniemi and A. Liestman.A survey of gossiping and broadcasting in communication networks.Networks. 1988.
  • 9Heinzelman WR,Kulik J,Balakrishnan H.Adaptive networks In:Proceedings of the ACM protocols for information dissemination in wireless sensor MobiCom'99.Seattle:ACM Press, 1999.

二级参考文献32

  • 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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