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基于蚁群优化的无线传感器网络路由算法 被引量:4

A Novel Routing Algorithm Based on Ant Colony optimization for Wireless Sensor Networks
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摘要 路由问题是无线传感器网络的核心问题。该文介绍了一种新的基于蚁群优化的路由算法。解决了无线传感器网络路由过程中节点能量消耗和拥塞控制问题,能够达到更好的负载平衡能力和延长网络生命周期。新算法结合了多蚁群的信息素释放机制和节能策略,还引进多蚁群之间的竞争机制以避免算法的单一收敛,在控制网络拥塞和平衡能量消耗上非常有效。实验结果表明,该新算法和基本的蚁群算法比较有更好的性能。 In this paper, we introduce a novel routing algorithm which is based on Ant Colony System.The aim of this novel algorithm is to solve the problem of energy and congestion control on wireless sensor network routing process.This algorithm is able to achieve better load balance and prolong the network lifetime.In this new algorithm we combine the pheromone released by multi-ant colonies and residual energy.We also introduce the competition mechanism among multi-ant colonies to avoid the simplex convergence.The new algorithm controls the network traffic congestion effectively and balances the energy consumption for sensor networks.Simulation results demonstrate that this algorithm has better performance on load balance comparing with fundamental ant colony algorithm.
作者 郝晓青 HAO Xiao-qing(School of Computer Science, Chengdu University of Electronic Science and Technology,Chengdu 610054,China)
出处 《电脑知识与技术》 2010年第1期34-36,共3页 Computer Knowledge and Technology
关键词 无线传感器网络 蚁群优化 信息素 路由算法 wireless sensor networks ant colony system pheromone routing algorithm
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参考文献6

  • 1M.Dorigo and L.Gambardella,"Ant colony system:a cooperative learning approach to the traveling salesman problem,"IEEE Trans.On Evolutionary Computation,Vol.1,pp.53-66,Apr.1997.
  • 2G.Chen,T.D.Guo,W.G.Yang and T.Zhao,"An improved ant based routing protocol in wireless sensor networks,"Proc.of International Conference on Collaborative Computing:Networking.Applications and Worksharing,pp.1-7.Nov.2006.
  • 3L.Juan.S.Chen and Z.Chao,"Ant system based anycast Routing in wireless sensor networks,"Proc.of the International Conference on Wireless Communications,Networking and Mobile Computing(WiCom2007),pp.2420-2423,Sept 2007.
  • 4杨靖,熊伟丽,徐保国.无线传感器网络中基于蚁群算法的路由算法[J].计算机工程,2009,35(6):4-6. 被引量:11
  • 5刘徐迅,曹阳,邹学玉,秦亮杰.一种无线传感器网络能量平衡路由[J].华中科技大学学报(自然科学版),2008,36(2):95-98. 被引量:5
  • 6耶刚强,梁彦,孙世宇,潘泉,程咏梅.基于多蚁群的无线传感器网络路由算法[J].火力与指挥控制,2009,34(3):63-66. 被引量:1

二级参考文献23

  • 1林亚平,王雷,陈宇,张锦,陈治平,童调生.传感器网络中一种分布式数据汇聚层次路由算法[J].电子学报,2004,32(11):1801-1805. 被引量:46
  • 2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
  • 3Marco D. Ant System: Optimization by a Colony of Cooperating Agents [J ]. IEEE Transactions on Systems, Man, and Cybernetics-Part B, 1996, 26 (1):29-41.
  • 4Kassabalidis I, EI-Sharkawi M A, Marks R J. Swarm Intelligence for Routing in Communication Networks [ A ]. Global Telecommunications Conference[C], 2001,6(6) : 3613-3617.
  • 5Akkaya K, Younis M. A Survey of Routing Protocols in Wireless Sensor Networks [J]. Elsevier Ad Hoc Network Journal, 2005, 3 (3) : 325-349.
  • 6Schoonderwoerd R,Holland O,Bruten J,et al. Ants for Load Balancing in Telecommunication Networks [Z]. Ewlett Packard Lab. , Bristol, U. K. , Tech. Rep, 1996.
  • 7Cianei C M, Trifa V, Martinoli A. Thresholdbased Algorithms for Power-aware Load Balancing in Sensor Networks [A ]. Swarm Intelligence Symposium. Proceedings 2005[C],2005:349-356.
  • 8Li N, Hou J C. Topology Control in Heterogeneous Wireless Networks: Problems and solutions [J]. Computer and Communications Societies, 2004 (1) : 232-243.
  • 9Brank J, Middendorf M, Schneider F. Improve Heuristics and a Genetic Algorithm for Finding Short Supersequences[J]. OR-Spektrum, 1998, 20 (1) :39-40.
  • 10Sabbineni H, Chakrabarty K. Location-aided Flooding: An Energy-efficient Data Dissemination Protocol for Wireless Sensor Networks[J]. IEEE Transactions on Computers, 2005, 54(1): 36-46.

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