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基于改进蚁群算法的Ad hoc路由协议的研究

冯勇 廖瑞华 饶妮妮 王炜华

冯勇, 廖瑞华, 饶妮妮, 王炜华. 基于改进蚁群算法的Ad hoc路由协议的研究[J]. 电子与信息学报, 2008, 30(10): 2472-2475. doi: 10.3724/SP.J.1146.2007.00486
引用本文: 冯勇, 廖瑞华, 饶妮妮, 王炜华. 基于改进蚁群算法的Ad hoc路由协议的研究[J]. 电子与信息学报, 2008, 30(10): 2472-2475. doi: 10.3724/SP.J.1146.2007.00486
Feng Yong, Liao Rui-Hua, Rao Ni-Ni, Wang Wei-Hua. The Routing Protocol Based on Improved Ant Colony Algorithm for Ad hoc Networks[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2472-2475. doi: 10.3724/SP.J.1146.2007.00486
Citation: Feng Yong, Liao Rui-Hua, Rao Ni-Ni, Wang Wei-Hua. The Routing Protocol Based on Improved Ant Colony Algorithm for Ad hoc Networks[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2472-2475. doi: 10.3724/SP.J.1146.2007.00486

基于改进蚁群算法的Ad hoc路由协议的研究

doi: 10.3724/SP.J.1146.2007.00486

The Routing Protocol Based on Improved Ant Colony Algorithm for Ad hoc Networks

  • 摘要: 现有Ad hoc网络路由协议技术研究中,路由稳定性和可靠性问题尚未得到很好解决,不能很好地适应Ad hoc网络。针对已有Ad hoc路由技术中存在的开销大以及网络稳定性较低的问题,该文引入蚁群算法,并对其进行改进。研究基于改进蚂蚁算法的Ad hoc 路由协议,并与比较成熟的AODV(Ad hoc On-Demand Distance Vector)进行对比。仿真实验结果表明,通过发挥网络中结点群体功能,新协议减小了端对端传输延时,改善了数据包传输成功率与协议开销,有效地提高了网络的稳定性和通信效率。
  • Ramanathan R and Redi J. A brief overview of mobile Ad hoc networks: Challenges and direction[J]. IEEE Communications Magazine, 2002, 40(5): 20-23.[2]Karn P. MACA-A new channel access method for packet radio [A].ARRL/CRRL Amateur Radio 9th Computer Networking Conference[C]. Ontario, Canada, 1990: 134-142.[3]Bettstetter C. On the minimum node degree and connectivity of a wireless multihop network [C]. Proc.MobiHoc, Lausanne, Switzerland, 2002: 80-91.[4]Royer E M and Toh Chai-Keong. A review of current routing protocols for Ad hoc mobile wireless networks [J].IEEE Personal Communications.1999, 6(2):46-55[5]Perkins C and Bhagwat P. Highly dynamic destination- sequenced distance-vector routing (DSDV) for mobile computers[J].Computer Communication Review.1994, 24(4):234-244[6]Clausen T and Jacquet P. Optimized link state routing protocol (OLSR). RFC3626, October, 2003.[7]Perkins C, Royer E M, and Das S R. Ad hoc on-demand distance vector (aodv) routing. IETF Internet draft, draft- ietf-manet-aodv-07.txt, November, 2000.[8]Johnson D and Maltz D. Dynamic Source Routing in Ad hoc Wireless Networks. Mobile Computing[M]. Edited by Tomas Imielinski and Hank Korth, Kluwer Academic Publishers, 1996: 153-181.[9]Dorigo M, Maniezzo V, and Colorni A. The ant system: optimization by a colony of cooperating agents[J].IEEE Trans. on Systems Man and Cybernetics.1996, 26(1):29-41[10]Dorigo M and Caro G D. Ant algorithms for discrete optimization[J].Artificial Life.1999, 5(3):137-172[11]Cgmara D and Loureiro A A F. A GPS/ant - like routing algorithm for Ad hoc networks. IEEE Wireless Communications and Networking Conference (WCNCOO), Chicago, IL, USA, September, 2000: 1232-1236.[12]Marwaha S, Tham C K, and Srinivasan D. Mobile agents based routing protocol for mobile Ad hoc networks. In Proceedings of IEEE GLOBECOM, Taipei, 2002: 163-167.[13]Gutjahr W J. ACO Algorithms with guaranteed convergence to the optimal solution. Technical report, University of Vienna, ISDS 2001-02.[14]Heissenbilttel M and Braun T. Ants-based routing in large scale mobile Ad-hoc networks. Kommunikation in verteilten Systemen(KiVS03), Leipzig, Germany, March, 2003: 181- 190.[15]Gilnes M.[J].Sorges U, and Bouazizi I. ARA-the ant-colony based routing algorithm for MANETs. International Conference on Parallel Processing Workshops (ICPPW02), Vancouver, British Columbia, Canada, IEEE Computer Society Press.2002,:-[16]Dorigo M, Bonabeau E, and Theraulaz G. Ant algorithms and stigmergy [J].Future Generation Computer Systems.2000, 16:851-871
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出版历程
  • 收稿日期:  2007-04-02
  • 修回日期:  2007-09-28
  • 刊出日期:  2008-10-19

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