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一种新的基于粗糙集理论的WSN分簇算法
New clustering algorithm based on rough sets for wireless sensor networks
【摘要】 利用粗糙集理论解决不确定性问题的优势,首次将粗糙集理论应用到无线传感器网路分簇算法中,提出了一种新的分簇算法:CRSWSN。主要从簇的形成和簇头的产生两个方面进行研究,并结合粗糙集的相关理论给出了详细的设计方案,成功地解决传统分簇算法的弊端。最后预测了粗糙集理论在无线传感器网路中的发展趋势。
【Abstract】 This paper presented a new clustering algorithm,called CRSWSN for short.It based on the advantages of solving uncertain problems with the theory of rough sets.And it was also the first time to combine with wireless sensor network.The paper analyzed the specific design methods in the way of the forming of cluster and the cluster head.Finally proposed the future of rough sets in the wireless sensor networks.
【关键词】 粗糙集;
上近似集;
下近似集;
无线传感器网路;
簇;
簇头;
模糊集;
【Key words】 rough sets; upper approximation; lower approximation; wireless sensor networks; cluster; cluster head; vague set;
【Key words】 rough sets; upper approximation; lower approximation; wireless sensor networks; cluster; cluster head; vague set;
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2009年01期
- 【分类号】TP301.6
- 【被引频次】4
- 【下载频次】248