针对无线传感器网络(Wireless Sensor Network,WSN)中节点能量有限、节点能耗不均衡导致网络生命周期较短的问题,提出一种基于测量数据相似性的分簇路由算法CRMDS(A WSN Clustering Routing Method based on Measured Data Similarity)...
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针对无线传感器网络(Wireless Sensor Network,WSN)中节点能量有限、节点能耗不均衡导致网络生命周期较短的问题,提出一种基于测量数据相似性的分簇路由算法CRMDS(A WSN Clustering Routing Method based on Measured Data Similarity)。在分簇阶段,设计自适应聚类算法,将测量值相似性高的节点分为一簇,在每个簇中选择一个节点传送数据,簇内其他节点进入睡眠模式以节省网络能量。在数据传输阶段,根据节点的剩余能量和传送能耗动态地更替簇头节点,并设计传送次数因子和相对距离因子生成簇头节点之间的路由路径,平衡节点能耗。仿真结果表明,CRMDS算法相较于现有算法能够有效节省网络能量,延长网络生命周期。
Reducing inconsistency is the key problem to improve data quality during data integration. In this paper,we first present a weighted algorithm of similarity coefficient which is superior to traditional algorithms if t...
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Reducing inconsistency is the key problem to improve data quality during data integration. In this paper,we first present a weighted algorithm of similarity coefficient which is superior to traditional algorithms if the sourcedata have multiple characteristic items ,all of which have to be taken into account ,especially during the complex infor-mation integration. Secondly,we apply it to the experiment of telecommunication customers integrating ,the results ofdata clustering show it has high feasibility and precision performance.
机动车保有量增加引发的环境污染与交通拥堵日趋严重,人们对于缓解交通拥堵的交通流预测方法研究逐渐重视.本文对厦门市城市道路的RFID(Radio frequency identification)数据预处理后进行相似性分析,选取相似性系数和不稳定系数为指标...
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机动车保有量增加引发的环境污染与交通拥堵日趋严重,人们对于缓解交通拥堵的交通流预测方法研究逐渐重视.本文对厦门市城市道路的RFID(Radio frequency identification)数据预处理后进行相似性分析,选取相似性系数和不稳定系数为指标来表征路段交通流的相似度,并判断阈值以及对应交通状态下的路段交通转移量,最终以数据相似性为基础,建立交通流预测模型.选取10条城市道路RFID数据验证,其平均绝对误差为0.061,证明本文提出模型的可行性.
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