Research on hierarchical routing algorithm for underwater acoustic communication networks

被引：0
|
作者：
Bian, Jinhong [1 ]
Xu, Xinzhou [2 ]
Wei, Xin [2 ]
Zhao, Li [2 ]
机构：
[1] School of Information Engineering, Yancheng Institute of Technology
[2] Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2013年 / 34卷 / 03期
关键词：
Community structure; Hierarchical routing; Spectrum method; Underwater acoustic communication networks; Wireless sensor networks;
D O I：
10.3969/j.issn.1006-7043.201205057
中图分类号：
学科分类号：
摘要：
In order to overcome the existing problem facing underwater acoustic communication networks, the researchers propose to examine a novel hierarchical routing algorithm for underwater acoustic communication networks. This study will be conducted in accordance to the hierarchical routing algorithms in wireless sensor network. While focusing on the problems of the network life cycle affected by the unbalanced node's energy consumption. The improved detection spectral algorithm of complex network is introduced based on the ideal of sub-wheel. First, the graph structure of acoustic communication networks is constructed by means of network initialization. Next, the Laplacian matrix and cluster algorithm will be used to generate the cluster structure thus realizing normal data transmission successfully. The simulation results shows, under the special condition of underwater acoustic communication networks, the hierarchical routing algorithm can achieve better results compared to the traditional LEACH protocol. The number of surviving nodes for each round in our algorithm exceeds that in LEACH, and in the condition of stable network data transmission.
引用
收藏
页码：275 / 279
页数：4
相关论文
共 22 条
  • [1] Sozer E., Stojanovic M., Proakis J., Underwater acoustic networks, IEEE Journal of Oceanic Engineering, 25, 1, pp. 72-83, (2000)
  • [2] Wei X., Underwater acoustic communication networks: a survey, pp. 1-26, (2009)
  • [3] Zhang L., Liu T., Liu G., Performance comparison of two routing protocols in underwater acoustic network, Journal of Harbin University of Science and Technology, 9, 5, pp. 39-42, (2004)
  • [4] Heinzelman W., Chandrakasan A., Balakrishnan H., An application-specific protocol architecture for wireless microsensor network, IEEE Trans on Wireless Communications, 1, 4, pp. 660-670, (2002)
  • [5] Lindsey S., Raghavendra C., PEGASIS: power-efficient gathering in sensor information system, Proc IEEE Aerospace Conf, pp. 9-16, (2002)
  • [6] Manjeshwar A., Agrawal D., TEEN: a routing protocol for enhanced efficiency in wireless sensor networks, Proceedings of 15th International Parallel and Distributed Processing Symposium, pp. 2009-2015, (2001)
  • [7] Han Y., Eom S., Chung T., Energy-efficient distance based clustering routing scheme for wireless sensor networks, ICCSA'07 Proceedings of the 2007 International Conference on Computational Science and Its Applications, pp. 195-206, (2007)
  • [8] Nghiem T., Kim J., Lee S., Et al., A coverage and energy aware cluster-head selection algorithm in wireless sensor networks, 5th International Conference on Intelligent Computing, ICIC2009, pp. 696-705, (2009)
  • [9] Tan P., Steinbach M., Kumar V., Introduction to Data Mining, pp. 487-650, (2005)
  • [10] Tan L., Gong Y., Chen G., A balanced parallel clustering protocol for wireless sensor networks using K-means techniques, IEEE Proc of the Second International Conference on Sensor Technologies and Applications, pp. 300-305, (2008)
123