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easily understand the energy efficient clustering head selection approach of wireless sensor network.
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EAREC,是无线传感器经典路由算法,基于集群结构,基于地理位置-EAREC:Energy Aware Routing with efficient Clustering for Sensor Networks
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Energy Efficient Hierarchical Clustering
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It is a paper on Energy-Efficient Routing Protocol based on Clustering and Least Spanning Tree in Wireless Sensor Networks and other Clustering related papers presented at the 2008 International Conference on Computer Science and Software Engineering
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This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matr
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Focused on the disadvantage of classical Euclidian
distance in data clustering analysis, we propose an improved
distance calculation formula, which describes the local
compactness and global connectivity between data points.
Furthermore, we i
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One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency.
Clustering is a method to make the consumed energy efficient. LEA
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involes leach clustering method. the energy efficient way to custer the nodes in a wireless networks and the modulation schemes involved in these wireless sensor communication
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In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data space into Vo
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This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array.
Com
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LEACH [1] is an autonomous adaptive clustering protocol that distributes the
energy load evenly among the sensors in the network using randomization. The
nodes organize themselves into local clusters, with one node acting as the local
base stat
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Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We
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Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We
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Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We
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Energy efficient algorithm based on clustering in wireless sensor networks.
Use of primary and secondary cluster heads for data gathering procedures.
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Deterministic Energy-efficient Clustering Protocol CODE
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Efficient Deployment Scheme Selection Based
On TOPSIS for Clustering Protocols of WSN
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Distributed energy Efficient clustering algorithm for heterogenous wireless sensor network
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Hierarchical Energy Efficient Clustering Algorithm for WSN
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new distributed energy-efficient clustering scheme for heterogeneous wireless sensor networks
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