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Ad hoc网络稳定的蚁群多路由算法 被引量:3

A Stable Ant Multipath Routing Algorithm in Ad hoc Networks
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摘要 针对Ad hoc网络路由协议中存在的路由老化和对拓扑变化适应性差的问题,提出了一种基于稳定拓扑和蚁群优化的多路由算法(SAMR),路径质量由路径的拓扑稳定度和时延来度量,并映射为蚁群信息素,利用蚁群优化进行路由的动态更新和维护,以避免路由老化。仿真表明,在动态环境下SAMR相比AODV能提高网络的吞吐量、降低传输时延。 In order to solve the problem of dated routes and poor flexibility to variations in topology in Ad hoc routing protocols, a multipath routing algorithm based on stable topology and ant colony optimization (SAMR) is proposed. In SAMR, pheromones of a path are used to reflect the quality of the path, which are a function of two parameters: topology stability and end-to-end delay. Routes are dynamically updated and maintained to avoid being dated by ant colony optimization algorithm. Simulation results show that in dynamic conditions, SAMR can improve network throughput and reduce end-to-end delay.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2010年第4期603-606,共4页 Journal of University of Electronic Science and Technology of China
基金 四川省技术创新基金(2008PT013)
关键词 Ad HOC网络 蚁群优化 多路由算法 拓扑稳定度 Ad hoe networks, ant colony optimization, multipath routing algorithm, topology stability
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参考文献8

  • 1刘元安,唐碧华,胡月梅.Ad hoc网络中的路由算法[J].北京邮电大学学报,2004,27(2):1-7. 被引量:35
  • 2PERKINGS C, BELDING-ROYER E, DAS S. Ad hoc on-demand distanco vector (AODV) routing[EB/OL]. [2008-12-13]. http://www.ictf.org/rfc/rfc3561.txt. 2003.
  • 3JOHNSON D, HU Y, MALTZ D. The dynamic source routing protocol (DSR) for mobile ad hoc networks for IPV4[EB/OL]. [2008-12-13]. http:l/www.ietf.orglrfc/ rfc.A728, txt. 2007.
  • 4DORIGO M, CARO G D. Ant colony optimization: a new meta-heuristic[C]//Proceedings of the 1999 Congress on Evolutionary Computation. Washington: IEEE Press, 1999: 1470-1477.
  • 5唐泳,马永开.用改进蚁群算法求解多目标优化问题[J].电子科技大学学报,2005,34(2):281-284. 被引量:20
  • 6MARWAHA S, THAM C K, SRINIVASAN D. Mobile agents based routing protocol for mobile Ad hoc networks[C]//Proceedings of GLOBECOM' 02. Taibei, China: IEEE Press, 2002: 163-167.
  • 7CARO G D, DUCATELLE F, GAMBARDELLA L M. AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks[J]. European Transactions on Telecommunications, 2005, 16(5): 443-455.
  • 8KAMLI S, OPATRNY J. POSANT: a position based ant colony routing algorithm for mobile adohoc networks [C]//Proceedings of ICWMC '07. Guadeloupe: IEEE Press, 2007:21-26.

二级参考文献6

  • 1Dorigo M, Maniezzo V, Colorni A. The Ant System: Optimation by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B, 1996, 26(1): 1-13.
  • 2Dorigo M, Gambardella, L.M. Ant colony system: A cooperative learning approach to the traveling salesman problem[J]. IEEE Transactions on Evolutionary Computation, 1997, 1(1): 53-66.
  • 3Tamaki H, Kita H,Kobayashi S. Multi-objective optimization by genetic algorithms: a review[C]. Proceedings of IEEE International Conference on Evolutionary Computation, NY, USA, NJ, USA, 1996:517-522.
  • 4Li Mingqiang, Kou Jisong, Dai Lin. GA-based multi-objective optimization[C]. Proceedings of the 3rd World Congress on Intelligent Control and Automation, HeFei, China, Hefei, China, 2000, 1:637-640.
  • 5王凌,郑大钟.多目标优化的一类模拟退火算法[J].计算机工程与应用,2002,38(8):4-5. 被引量:25
  • 6盛敏,李建东,史琰.应用于Ad Hoc网络的时延敏感自适应路由协议[J].高技术通讯,2003,13(6):1-4. 被引量:6

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