陶强, 黄友锐, 凌六一, 曲立国, 杨再甫. 基于改进蚁群算法的水下传感器网络路由策略[J]. 微电子学与计算机, 2015, 32(5): 59-62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.013
引用本文: 陶强, 黄友锐, 凌六一, 曲立国, 杨再甫. 基于改进蚁群算法的水下传感器网络路由策略[J]. 微电子学与计算机, 2015, 32(5): 59-62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.013
TAO Qiang, HUANG You-rui, LING Liu-yi, QU Li-guo, YANG Zai-fu. Underwater Sensor Networks Routing Strategy Based on the Improved Ant Colony Optimization Algorithm[J]. Microelectronics & Computer, 2015, 32(5): 59-62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.013
Citation: TAO Qiang, HUANG You-rui, LING Liu-yi, QU Li-guo, YANG Zai-fu. Underwater Sensor Networks Routing Strategy Based on the Improved Ant Colony Optimization Algorithm[J]. Microelectronics & Computer, 2015, 32(5): 59-62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.013

基于改进蚁群算法的水下传感器网络路由策略

Underwater Sensor Networks Routing Strategy Based on the Improved Ant Colony Optimization Algorithm

  • 摘要: 将改进蚁群算法用于水下传感器网络的路由优化中,首先建立了水下传感器网络的拓扑模型,在模型的基础上用改进蚁群算法找寻一条能耗最小的路径,再用该路径传输数据.最后对该路由策略进行了Matlab仿真,仿真结果表明,该策略能很好地解决能耗和多径效应问题.

     

    Abstract: An improved ant colony optimization algorithm in given out, which is applied to underwater sensor networks, The underwater sensor networks topology model is established and an improved ant colony algorithm based on the model is used to find the minimum energy path. Then,the path is used to transnit data. Finally, the routing strategy is simulated in Matlab,and the result shows that this strategy is a good way to sowe the problem of energy consumption and multipath effects.

     

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