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蚁群算法在WSN路由协议中的应用 被引量：7

Application of Improved Ant Colony Algorithm in WSN Routing Protocol
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摘要 针对无线传感网络节点能量有限的特点,提出一种改进的蚁群算法,将蚂蚁信息素、网络节点能量和节点间的时延相结合,形成算法控制因子。仿真结果表明,该算法可以均衡网络中各个节点的能量消耗,延长整个网络的生命周期,缓解网络拥塞并降低平均传输时延。 Aiming at the limitation of energy of Wireless Sensor Networks（WSN） node, this paper proposes an improved ant colony algorithm. The ant pheromone, the energy of the node and delay between the nodes are combined to engender algorithm control gene. Simulation results show that this algorithm can balance energy consumption between nodes in the network and prolong the lifecycle of the whole network, relieve network congestion and reduce the average transmission delay.
作者 刘晓东 冒勇军
机构地区 上海师范大学数理学院
出处 《计算机工程》 CAS CSCD 北大核心 2009年第16期243-244,247,共3页 Computer Engineering
关键词 无线传感网络 蚁群算法 路由协议 信息素 Wireless Sensor Networks（WSN） ant colony algorithm routing protocol pheromone
分类号 TP393.07 [自动化与计算机技术—计算机应用技术]
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参考文献4

  • 1Intanagonwiwat C, Govindan R, Estrin D. Direct Diffusion for Wireless Sensor Networking[J]. IEEE/ACM Transactions on Networking, 2003, 11 ( 1 ): 2-16.
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同被引文献38

  • 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
  • 2Akkaya K, Younis M. An Energy-aware QoS Routing Protocol for Wireless Sensor Networks[C]//Proc. of IEEE Workshop on Mobile and Wireless Networks. Piscataway, USA: IEEE Press, 2003: 710-715.
  • 3Akyildiz I F. A Survey on Wireless Multimedia Sensor Networks[J]. Computer Networks, 2007, 51(4): 921-960.
  • 4Akyildiz I, Su Weilian, Sankarasubramaniam Y. Wireless Sensor Networks: A Survey[J]. Computer Networks, 2002, 38(4): 393- 422.
  • 5Chen Dazhi, Varshney P K. On Demand Geographic Forwarding for Data Delivery in Wireless Sensor Networks[J]. Computer Communication, 2007, 30(14/15): 2954-2967.
  • 6Shih Tzay-Farn, Yen Hsu-Chun. Location Aware Routing Protocol with Dynamic Adaptation of Request Zone for Mobile Ad Hoc Networks[J]. Wireless Networks, 2008, 14(3): 321-333.
  • 7Heinzelman W R, Kulik J, Balakrishnan H. Adaptive Protocols for Information Dissemination in Wireless Sensor Networks[C] //Proc. of the 5th Annual International Conference on Mobile Computing and Networking. New York, USA: ACM Press, 2001: 174-185.
  • 8Smaragdakis G, Matta I, Bestavros A. SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks[C] //Proc. of SANPA’04. Boston, Massachusetts, USA: [s. n.] , 2004.
  • 9Wang Guifeng, Wang Yong, Tao Xiaoling. An Ant Colony Cluster- ing Routing Algorithm for Wireless Sensor Networks[C]//Proc. of the 3rd International Conference on Genetic and Evolutionary Computing. [S. 1.]: IEEE Press, 2009: 670-673.
  • 10Li Hongsheng, Liu Sumin, Hu Bing. Design of Node Power Management in WSN Based on Ant Colony Algorithm[C]//Proc. of International Conference on Networks Security, Wireless Com- munications and Trusted Computing. Washington D. C., usA: IEEE Computer Society, 2009: 739-743.

引证文献7

二级引证文献21

计算机工程
2009年 第16期

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