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Energy-balanced on demand clustering improved leach protocol for wireless sensor networks 被引量:4
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作者 KHAMISS A A CHAI Sen-chun +1 位作者 ZHANG Bai-hai LI Qiao 《Journal of Beijing Institute of Technology》 EI CAS 2016年第3期353-364,共12页
In wireless sensor networks(WSNs),appropriate topology control(TC)could efficiently balance the load among sensor nodes and extend network lifespan.Clustering is an effective topology control technique that could ... In wireless sensor networks(WSNs),appropriate topology control(TC)could efficiently balance the load among sensor nodes and extend network lifespan.Clustering is an effective topology control technique that could reduce energy consumption and provide scalability to WSNs.However,some clustering algorithms,including the traditional low energy adaptive clustering hierarchy(LEACH),don't consider the residual energy and the communication distance.The energy consumption could dramatically increase in the case of long communication distance and high rate of control message exchange.In this paper we propose an energy-balanced clustering algorithm which considers the communication distance and the residual energy.Moreover the cluster head(CH)reselection is relevant to the current CH residual energy in order to reduce overheads.The simulation results demonstrate that the proposed algorithm prolongs the lifetime of the WSN in comparison to the LEACH and a hybrid clustering approach(HCA). 展开更多
关键词 intra-cluster inter-cluster cluster energy communication cost
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CLUSTERING VALIDITY BASED ON THE IMPROVED S_DBW INDEX 被引量:1
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作者 Tong Jianhua Tan Hongzhou 《Journal of Electronics(China)》 2009年第2期258-264,共7页
For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on... For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on a novel method to select the margin point between two clusters for in-ter-cluster similarity more accurately,and provides an improved scatter function for intra-cluster similarity.Simulation results show the effectiveness of the proposed index on the data sets under consideration regardless of the choice of a clustering algorithm. 展开更多
关键词 Clustering validity inter-cluster similarity intra-cluster similarity
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CLASSIFYING WESTERN NORTH PACIFIC TROPICAL CYCLONES BY PHYSICAL INDEX SYSTEM 被引量:1
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作者 YAN Dong-yi XU Kui +1 位作者 MA Chao MA Man-tang 《Journal of Tropical Meteorology》 SCIE 2018年第2期142-150,共9页
The classification of tropical cyclones(TCs) is significant to obtaining their temporal and spatial variation characteristics in the context of dramatic-changing global climate. A new TCs clustering method by using K-... The classification of tropical cyclones(TCs) is significant to obtaining their temporal and spatial variation characteristics in the context of dramatic-changing global climate. A new TCs clustering method by using K-means clustering algorithm with nine physical indexes is proposed in the paper. Each TC is quantified into an 11-dimensional vector concerning trajectory attributes, time attributes and power attributes. Two recurving clusters(cluster A and E)and three straight-moving clusters(cluster B, C and D) are categorized from the TC best-track dataset of the western North Pacific(WNP) over the period of 1949-2013, and TCs' properties have been analyzed and compared in different aspects. The calculation results of coefficient variation(CV) and Nash-Sutcliffe efficiency(NSE) reveal a high level of intra-cluster cohesiveness and inter-cluster divergence, which means that the physical index system could serve as a feasible method of TCs classification. The clusters are then analyzed in terms of trajectory, lifespan, seasonality, trend,intensity and Power Dissipation Index(PDI). The five classified clusters show distinct features in TCs' temporal and spatial development discipline. Moreover, each cluster has its individual motion pattern, variation trend, influence region and impact degree. 展开更多
关键词 tropical cyclone physical index K-means clustering Nash-Sutcliffe efficiency inter-cluster divergence intra-cluster cohesiveness power dissipation index
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An Improved Virtual Machine Placement Algorithm Based on Traffic Bandwidth Optimization in Data Center
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作者 ZHAO Changming LIU Jian 《China Communications》 SCIE CSCD 2015年第S2期83-92,共10页
The Virtual Machine(VM) placement is a serious problem to limit the improvement of resource utilization of data center. The VM traffic bandwidth demand is a Non zero-sum resource that the global traffic sum is relativ... The Virtual Machine(VM) placement is a serious problem to limit the improvement of resource utilization of data center. The VM traffic bandwidth demand is a Non zero-sum resource that the global traffic sum is relative with each VM placement position. In this paper, we introduce a new improved traffic constant algorithm in the data center, called Degree and Weighted Maximum Traffic Ratio(DWMTR). The proposal DWMTR algorithm defines a new weighted ratio parameter in this paper. The main body of the parameter is constructed with the ratio, current overall intra-cluster traffic divided by current overall inter-cluster traffic, when a new VM places in the data center. The DWMTR algorithm has the ability to constraint the inter-cluster traffic incensement more strictly than the current VM placement algorithms based on traffic bandwidth allocation. For this algorithm based on the theoretical analysis and simulation, it confirms the proposed DWMTR possesses smaller global interactive traffic cost than the control group algorithms in the appointed VM placement in the three-layer data center model. 展开更多
关键词 machine PLACEMENT TRAFFIC BANDWIDTH constraint intra-cluster TRAFFIC inter-cluster TRAFFIC
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