基于混合CS的WSN六边形格状优化分簇路由算法研究

崔灿; 孙毅; 陆俊; 郝建红

doi:10.11959/j.issn.1000-436x.2016104

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基于混合CS的WSN六边形格状优化分簇路由算法研究

学术通信 | 更新时间：2024-06-05

- 基于混合CS的WSN六边形格状优化分簇路由算法研究
- Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN
- 通信学报 2016年37卷第5期页码：176-183
- 作者机构：
  
  华北电力大学电气与电子工程学院，北京102206
- 作者简介：
  
  [ "崔灿（1991-），男，安徽蚌埠人，华北电力大学博士生，主要研究方向为电气信息技术、无线传感器网络、压缩感知理论等。" ]
  [ "孙毅（1972-），男，辽宁朝阳人，博士，华北电力大学教授、硕士生导师，主要研究方向为电力系统通信与信息技术、无线传感器网络等。" ]
  [ "陆俊（1976-），男，云南广南人，博士，华北电力大学副教授、硕士生导师，主要研究方向为无线传感器网络、电力系统通信和电气信息技术等。" ]
  [ "郝建红（1960-），女，河北石家庄人，博士，华北电力大学教授、博士生导师，主要研究方向为物理电子学和电磁理论等。" ]
- 基金信息：
  
  国家高技术研究发展计划（“863”计划）基金资助项目(2015AA050203)
- DOI：10.11959/j.issn.1000-436x.2016104
  中图分类号： TN92
- 网络出版日期：2016-05，
  
  纸质出版日期：2016-05-15
- 稿件说明：
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崔灿, 孙毅, 陆俊, 等. 基于混合CS的WSN六边形格状优化分簇路由算法研究[J]. 通信学报, 2016,37(5):176-183.

Can CUI, Yi SUN, Jun LU, et al. Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN[J]. Journal on communications, 2016, 37(5): 176-183.
崔灿, 孙毅, 陆俊, 等. 基于混合CS的WSN六边形格状优化分簇路由算法研究[J]. 通信学报, 2016,37(5):176-183. DOI： 10.11959/j.issn.1000-436x.2016104.

Can CUI, Yi SUN, Jun LU, et al. Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN[J]. Journal on communications, 2016, 37(5): 176-183. DOI： 10.11959/j.issn.1000-436x.2016104.

摘要

建立基于混合 CS的六边形格状 WSN 分簇模型，定量分析网络数据传输次数与数据压缩比例和分簇大小的关系，并求解最优网络分簇个数。提出基于混合 CS的 WSN 六边形格状优化分簇路由算法，均衡网络通信开销的同时减少数据传输次数。通过仿真实验验证所提出的优化分簇模型与算法优于传统分簇模型，能有效降低网络数据传输次数。

Abstract

A hexagon lattice clustering model for WSN was proposed based on hybrid CS.The relationship between data transmission times and compression ratio and clus er size was analyzed quantitatively to get optimal clustering number.Then

a hexagon lattice optimal clustering routing algorithm for WSN based on ybrid CS was proposed

to balance network communication overhead and reduce data transmission times.Simulation experiment proved that the optimal clustering model and algorithm proposed are better than traditional ones in reducing data transmis-sion times in WSN.

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references

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