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基于分簇的能量有效多路径路由协议的研究 被引量:4

Research on the Cluster-Based Energy-Efficient Multipath Routing Protocols for WSNs
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摘要 提出了一种基于分簇和蚁群算法的能量有效的多路径路由协议CAEMP,适用于事件驱动和查询的混合数据采集方法。该协议通过把事件区域附近的节点成簇的方法来减少发送的数据量,簇头选举的时候综合考虑能量、邻居节点数量和事件信号强度等参数,控制事件区域簇的规模,制定了备份簇头的机制。事件区域形成的簇头通过蚁群算法形成到汇聚节点的多路径,对于汇聚节点,如果需要查询数据,可以采用发送搜索蚂蚁的方法,搜索信息素可以加快前向蚂蚁到达汇聚节点的速度。最后,事件区域的数据在簇头融合后就可以在蚁群算法形成的多路径上进行数据包的发送。在NS-2仿真环境下协议进行仿真实验,仿真结果表明,该协议延长了网络寿命,提高了能量有效性。 In order to design a routing protocol that is applied in the event-driven and query environment,an improved CAEMP protocol based on the clustering and improved ant colony optimization is proposed.CAEMP has three phases,which are cluster formation,constructing multipath and data transmission.Firstly,a cluster head is competed among nodes located in the event area according to some parameters,such as residual battery energy,the number of node's neighbors and the signal strength.The backup cluster head algorithm is adopted.If destination node wants to check some information,search ants travel from the destination node and add pheromone on the paths which they have passed by so as to supply some prior knowledge to the forward ants.Secondly,a number of good paths between the cluster head and destination are created with improved ACO algorithm.Finally,the aggregating data from cluster head will randomly select one of the paths with probability according to the pheromone values of the route entries.The simulation results show that CAEMP prolongs the network lifetime,and reduces the average energy consumption effectively.
出处 《传感技术学报》 CAS CSCD 北大核心 2013年第8期1126-1134,共9页 Chinese Journal of Sensors and Actuators
基金 国家自然科学基金项目(61174023 61002018)
关键词 无线传感器网络 多路径路由协议 分簇 蚁群算法 能量有效 wireless sensor networks multipath routing protocol clustering ant colony optimization energy-efficient
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参考文献22

  • 1Rahman K C. A Survey on Sensor Network [ J ]. Journal of Computer and Information ,2010,1 ( 1 ) :76-87.
  • 2杨婧.无线传感器网络中高能效数据收集协议的研究[D].江南大学,2010.
  • 3Dorigo M, Birattari M, Stutzle T. Ant Colony Optimization : Artificial Ants as a Computational Intelligence Technique [ J ]. IEEE Computational Intelligence Magazine, 2006,1 ( 40 ) : 28- 39.
  • 4Chen Ge, Guo Tiande, Yang Wenguo, et al. An Improved Ant- Based Routing Protocol in Wireless Sensor Networks [ C ]//2006 International Conference on Collaborative Computing: Networking, Applications and Worksharing, Atlanta, USA : IEEE ,2006,1-7.
  • 5鲍荣,潘浩,董齐芬,俞立,邵磊.基于信息素扩散模型蚁群算法的无线传感网路由研究[J].传感技术学报,2011,24(11):1644-1648. 被引量:10
  • 6Amis A D, Prakash R, Vuong T H P, et al. Max-Min D-Cluster Formation in Wireless Ad Hoc Networks [ C ]//Proceedings of Infocom, 2000.
  • 7Heinzehnan W B, Chandrakasan A P, Balakrishnan H. An Application-Specific Protocol Architecture for Wireless Microsensor Networks [ J ]. IEEE Transactions on Wireless Communications, 2002,1 ( 4 ) :660-670.
  • 8Bandyopadhyay S, Coyle E J. An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks [ C ]// Proceedings of IEEE Infocom,2003.
  • 9Wang Y, Tsai C, Mao H. HMRP: Hierarchy-Based Multipath Routing Protocol for Wirelesss Sensor Networks [ J ]. Tamkang Jounal of Science Engineering,2006,9 ( 3 ) :255-264.
  • 10安辉耀,卢锡城,彭伟.移动自组网中一种基于簇的多路径路由算法[J].软件学报,2007,18(4):987-995. 被引量:11

二级参考文献47

  • 1梁华为,陈万明,李帅,梅涛,孟庆虎.一种无线传感器网络蚁群优化路由算法[J].传感技术学报,2007,20(11):2450-2455. 被引量:32
  • 2安辉耀,卢锡城.移动自主网络多路径路由技术研究进展[J].计算机工程与科学,2006,28(2):4-9. 被引量:11
  • 3安辉耀,卢锡城,彭伟,龚正虎.MANET中基于簇的多路径动态源路由(CMDSR)[J].计算机研究与发展,2006,43(3):381-388. 被引量:14
  • 4Akyildiz Lf,Su W 1,Sankarasubramaniam Y,et al.A Survey on Sensor Networks[J].IEEE Communications Magazine,2002,40(8):102-114.
  • 5Dorigo M,Birattari M,Stutzle T.Ant Colony Optimization:Artificial Ants as a Computational Intelligence Technique[J]. IEEE Computational Intelligence Magazine,2006,1 (40):28-39.
  • 6Blum C.Ant Colony Optimization:Introduction and Recent Trends[J].Physics of Life Reviews,2005,2 (4):353-373.
  • 7Di Caro G,Dorigo M.AntNet:Distributed Srgmergetic Control for Communication Networks[J].Journal of Ariificial Intelligence Research,1998,9(1):317-365.
  • 8Di Caro,Ducatelle F,Gambardella L.AntHocNet:An Adaptive Nature-Inspired Algorithm for Routing in Mobile Ad Hoo Networks[M].European Trausactions on Telecommunnications,2005,16(5):443-455.
  • 9Hussein 0 tt,Saadawi M J,Lee M.Ant Routing Algorithm for Mobile Ad Hoc Networks(A RA MA)[J].Phoenix,Arizona,2O04:15-17.
  • 10Rajagopalan S,Shen C.ASNI:A Unicast Routing Protocol for Mobile Ad Hoe Networks Using Swarm Intelligence[C]//Proceedings of the International Conference on Artificial Intelligence,Italy,2005:24-27.

共引文献43

同被引文献26

  • 1孙岩,马华东,刘亮.一种基于蚁群优化的多媒体传感器网络服务感知路由算法[J].电子学报,2007,35(4):705-711. 被引量:22
  • 2Bista R,Chang J W. Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks : A Survey [ J ]. Sensors, 2010,10 ( 5 ) : 4577-4601.
  • 3Li X Y, Wang Y, Wang Y. Complexity of Data Collection, Aggrega- tion and Selection for Wireless Sensor Networks [ J ]. Computers, IEEE Transactions on, 2011,60 ( 3 ) : 386- 399.
  • 4Bagaa M, Challal Y, Ksentini A, et al. Data Aggregation Scheduling Algorithms in Wireless Sensor Networks:Solutions and Challenges [ J]. Communications Surveys and Tutorials, IEEE, 2014, 16 ( 3 ) : 1339-1368.
  • 5Madden S, Franklin M J, Hellerstein J M, et al. TAG:A Tiny Aggre- gation Service for Ad Hoc Sensor Networks [ J ]. ACM SIGOPS Oper- ating Systems Review, 2002,36 ( SI ) : 131 - 146.
  • 6Nath S, Gibbons P B, Seshan S, et al. Synopsis Diffusion for Robust Aggregation in Sensor Networks [ C ]//Proceedings of the 2nd Inter- national Conference on Embedded Networked Sensor Systems. ACM, 2004 : 250- 262.
  • 7Considine J, Hadjieleftheriou M,Li F,et al. Robust Approximate Aggregation in Sensor Data Management Systems [ J ]. ACM Trans- actions on Database Systems (TODS), 2009,34( 1 ) : 1-35.
  • 8Manjhi A, Nath S, Gibbons P B. Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams[ C]//Proceed- ings of the 2005 ACM SIGMOD International Conference on Man- agement of Data. ACM ,2005:287-298.
  • 9Flajolet P, Nigel Martin G. Probabilistic Counting Algorithms for Data Base Applications [ J ]. Journal of Computer and System Sci-ences, 1985,31 (2) : 182- 209.
  • 10Whang K Y,Vander Zanden B T,Taylor H M. A Linear Time Proba-bilistic Counting Algorithm for Database Applications [ J ]. ACM Transactions on Database Systems ( TODS), 1990,15 (2) : 208 - 229.

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