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基于蚂蚁算法的无线传感器网络数据融合路由算法 被引量:3

Date-aggregation routing algorithm based on ant algorithm for wireless sensor networks
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摘要 在无线传感器网络环境下,提出改进的基于蚂蚁算法的数据融合路由算法。该算法采用分布式策略,将整个网络中的节点构造成一棵以sink节点为根的树结构,即数据融合树,算法在构造树的过程中,利用蚂蚁的"寻食"方式进行最优父节点的选择,同时算法也考虑了节点的剩余能量,用其它节点代替剩余能量小的节点。算法利用树结构实现了数据融合,节省了能量,同时也实现了负载均衡,最大化网络的生存时间。 An improved data-aggregation routing algorithm based on ant algorithm for wireless sensor networks is presented. The improved algorithm is distributed and each node only needs to know the information of its neighbors. In this algorithm, the whole network is constructed into a tree structure with sink being the root of the tree. The father of each node is selected using the way of "fmdingofood" of ants. This algorithm take the residual energy of nodes into account and use other nodes to instead of the less residual energy nodes. The algorithm realized date-aggregation and resolved the problem of unbalance load in WSN and maximized the lifetime of the whole network.
出处 《计算机工程与设计》 CSCD 北大核心 2009年第3期576-579,共4页 Computer Engineering and Design
关键词 无线传感器网络 蚂蚁算法 数据融合 剩余能量 负载均衡 wireless sensor networks ant algorithm data-aggregation residual energy load balance
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参考文献8

  • 1Tilakk S, ABU-Ghazaleh NB, Heinzelman W. A taxonomy of wireless microsensornetwork models[J]. Mobile Computing and Communications Review, 2002,1 (2): 1-8.
  • 2Estrin D, Govindan R,Heideman J,et al.Next century challenges scalable coordination in sensor networks [C]. Seattle Washington: Proc of the 5th Annual ACM/ IEEE International Conference on Mobile Computing and Networking,1999:263-270.
  • 3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
  • 4Intanagonwiwat C, Govindan R, Estrin D.Directed diffusion: A scalable and robust communication paradigm for sensor net- works [C]. Boston, Massachusetts: Proc of the Sixth Annual ACM/IEEE Intl Conf on Mobile Computing and Networking, 2000.
  • 5Heinzelman W R,Chandrakasan A,Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks[C]. Proc of the 33rd Intl Conf on System Sciences,2000: 1-10.
  • 6Manjeshwar A,Agarwal D P.TEEN: a routing protocol for enhanced efficiency in wireless sensor networks[C].lst Intl Wor- kshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing,2001.
  • 7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
  • 8Krishnamachari B, Estrin D, Wicker S. Modelling data-centric routing in wireless sensor networks[C]. Stojmenovic I,Olariu S. Proc of the IEEE Infocom. New York: IEEE Computer Society, 2002:2-14.

二级参考文献42

  • 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1719

同被引文献49

  • 1李志宇,史浩山.基于最小Steiner树的无线传感器网络数据融合算法[J].西北工业大学学报,2009,27(4):558-564. 被引量:6
  • 2周四望,林亚平,张建明,欧阳竞成,卢新国.传感器网络中基于环模型的小波数据压缩算法[J].软件学报,2007,18(3):669-680. 被引量:41
  • 3Ganesan D,Greenstein B,Estrin D,et al.Multiresolution storage and search in sensor networks[J].ACM Transaction on Storage,2005,1(3):277-315.
  • 4Ciancio A,Pattern S,Ortega A,et al.Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm[C] //Proceedings of the 5th International Conference on Information Processing in Sensor Networks.2006:309-316.
  • 5Haupt J,Bajwa W U,Rabbat M,et al.Compressed sensing for networked data[J].IEEE Signal Processing Magazine,2008,25(2):92-101.
  • 6Wan Tao,Canagarajah N,Achim A.Compressive image fusion[C] //15th IEEE International Conference on Image Processing.2008:1308-1311.
  • 7Leung H,Chandana S,Wei Shuang.Distributed sensing based on intelligent sensor networks[J].IEEE Circuits and Systems Magazine,2008,8(2):38-52.
  • 8Harris Albert,Kravets Robin,Gupta Indranil.Building trees based on aggregation efficiency in sensor networks[J].Ad Hoc Networks,2007,5(8):1317-1328.
  • 9Wang Licheng,Wang hua,Pan Yun,et al.Discrete-log-based additively homomorphic encryption and secure WSN data aggregation[C] //Proceedings of the 11th International Conference on Information and Communications Security.2009:493-502.
  • 10Liu An-Feng,Wu Xian-You,Chen Zhi-Gang,et al.An energy-balanced data gathering algorithm for linear wireless sensor networks[J].Int J Wireless Inf Networks,2010,17(1-2):42-53.

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