Distributed k -Means Algorithm and Fuzzy c -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory

This paper is concerned with developing a distributed k-means algorithm and a distributed fuzzy c-means algorithm for wireless sensor networks (WSNs) where each node is equipped with sensors. The underlying topology of the WSN is supposed to be strongly connected. The consensus algorithm in multiage...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 47; no. 3; pp. 772 - 783
Main Authors:	Qin, Jiahu, Fu, Weiming, Gao, Huijun, Zheng, Wei Xing
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k -means Algorithms Centroids Clustering Clustering algorithms Computational complexity Computer simulation Consensus distributed algorithm Distributed databases fuzzy <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">c -means hard clustering Monitoring Multiagent systems Network topologies Network topology Nodes Partitioning Partitioning algorithms Sensors soft clustering wireless sensor network (WSN) Wireless sensor networks
ISSN:	2168-2267, 2168-2275
Online Access:	Get full text
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