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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 被引量：12

Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN
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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。 A hexagon lattice clustering model for WSN was proposed based on hybrid CS. The relationship between data transmission times and compression ratio and cluster size was analyzed quantitatively to get optimal clustering number. Then, a hexagon lattice optimal clustering routing algorithm for WSN based on hybrid 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 transmission times in WSN.
作者 崔灿 孙毅 陆俊 郝建红
机构地区 华北电力大学电气与电子工程学院
出处 《通信学报》 EI CSCD 北大核心 2016年第5期176-183,共8页 Journal on Communications
基金 国家高技术研究发展计划("863"计划)基金资助项目(No.2015AA050203)~~
关键词 WSN 压缩感知 六边形优化模型 分簇路由 wireless sensor network compressed sensing hexagon lattice optimal model clustering routing
分类号 TN92 [电子电信—通信与信息系统]
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参考文献18

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二级参考文献42

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通信学报
2016年 第5期

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