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基于蚁群优化的无线传感器网络路由优化算法 被引量:8

Improving Ant Colony Optimization Routing Algorithm for Wireless Sensor Network
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摘要 针对无线传感器网络节点功耗受限,无线信道容易受环境干涉等特点,提出一种低功耗、信道质量敏感的无线传感器网络路由优化算法COR,COR算法基于节点剩余能量、无线信道质量统计参数等变量,通过修改启发因子方程以及信息素更新方程,采用改进蚁群算法选择剩余能量高、信道质量较好的路径进行数据的路由转发,可有效降低数据传输功耗,平衡网络中节点的功率消耗,延长网络生命周期。仿真实验表明,COR算法网络消耗能量仅为传统ACO(Ant Colony Optimization)算法的73%,具有较高的实用价值。 Nodes in wireless sensor network have limited power supply and wireless channels between them are sen- sitive to interference. Therefore we propose a power-saving aware optimization routing algorithm named COR, which is also robust against channel interference. Sections 2 and 3 of the full paper explain the improved algorithm men- tioned in the title, whose core consists of: ( 1 ) taking into consideration both remaining power and wireless channel interference, we improve our COR algorithm by modifying the heuristic function and the pheromone updating equa- tion; (2) we use the improved COR algorithm to select the channel that has higher remaining power and smaller in- terference so as to route and deliver the data packets in the wireless sensor network. The simulation results, presen- ted in Figs. 1 through 3, and their analysis show preliminarily that: (1) compared with the traditional ant colony optimization algorithm, our COR algorithm saves power because fewer retransmissions are needed; (2) it prolongs the network life by 27%, thus being more suitable to a practical wireless sensor network.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2012年第3期356-360,共5页 Journal of Northwestern Polytechnical University
基金 温州科技创新基金<车载自组网原型系统设计与其开发>资助
关键词 无线传感器网络 路由算法 蚁群算法 低功耗 data transfer, efficiency, error analysis, models, optimization, packet loss, robustness (control sys-tems), routing algorithms, routing protocols, wireless sensor networks ant colony optimization algo-rithm, power-saving
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参考文献6

  • 1A1-Karaki J N, Kamal A E. Routing Techniques in Wireless Sensor Networks: a Survey. IEEE Wireless Communications, 2004, 11:6-28.
  • 2Slijepcevic S, Potkonjak M. Power Efficient Organization of Wireless Sensor Networks. IEEE International Conference on Com- munications, 2001.
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  • 5Dorigo M, Birattari M, Stutzle T. Ant Colony Optimization. Brandenburger A, Legendre D, Avalosse B, Rommelaere J. nicity of Parvovirus MVMp. Virology, 1990, 174 : 576-584.
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