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An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things | IEEE Journals & Magazine | IEEE Xplore
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Journals & Magazines >IEEE Transactions on Industri... >Volume: 13 Issue: 3

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things

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Qingchen Zhang; Chunsheng Zhu; Laurence T. Yang; Zhikui Chen; Liang Zhao; Peng Li
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Abstract:

With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being collected from ma...Show More

Metadata

Abstract:

With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being collected from many sensor nodes deployed in the industrial Internet of Things. Analyzing those data effectively can help to improve the industrial services and mitigate the system unprepared breakdowns. As an important technique of data analysis, clustering attempts to find the underlying pattern structures embedded in unlabeled information. Unfortunately, most of the current clustering techniques that could only deal with static data become infeasible to cluster a significant volume of data in the dynamic industrial applications. To tackle this problem, an incremental clustering algorithm by fast finding and searching of density peaks based on k-mediods is proposed in this paper. In the proposed algorithm, two cluster operations, namely cluster creating and cluster merging, are defined to integrate the current pattern into the previous one for the final clustering result, and k-mediods is employed to modify the clustering centers according to the new arriving objects. Finally, experiments are conducted to validate the proposed scheme on three popular UCI datasets and two real datasets collected from industrial Internet of Things in terms of clustering accuracy and computational time.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 13, Issue: 3, June 2017)
Page(s): 1193 - 1201
Date of Publication: 20 March 2017

ISSN Information:

DOI: 10.1109/TII.2017.2684807

Funding Agency:

Author image of Qingchen Zhang
Department of Computer Science, St. Francis Xavier University, Antigonish, Canada
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Qingchen Zhang received the Ph.D. degree in software engineering from Dalian University of Technology, Dalian, China, in 2015.
He is currently a Postdoctoral Fellow at St. Francis Xavier University, Antigonish, NS, Canada. He has authored or coauthored more than ten papers on the topics of big data computing, data mining, cloud computing, and deep learning, including papers in the IEEE Transactions on Computers, the IEE...Show More
Qingchen Zhang received the Ph.D. degree in software engineering from Dalian University of Technology, Dalian, China, in 2015.
He is currently a Postdoctoral Fellow at St. Francis Xavier University, Antigonish, NS, Canada. He has authored or coauthored more than ten papers on the topics of big data computing, data mining, cloud computing, and deep learning, including papers in the IEEE Transactions on Computers, the IEE...View more
Author image of Chunsheng Zhu
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada
Chunsheng Zhu received the B.E. degree in network engineering from Dalian University of Technology, Dalian, China, in 2010, the M.Sc. degree in computer science from St. Francis Xavier University, Antigonish, NS, Canada, in 2012, and the Ph.D degree in electrical and computer engineering from the University of British Columbia, Vancouver, BC, Canada, in 2016.
He is currently a Postdoctoral Fellow with the University of ...Show More
Chunsheng Zhu received the B.E. degree in network engineering from Dalian University of Technology, Dalian, China, in 2010, the M.Sc. degree in computer science from St. Francis Xavier University, Antigonish, NS, Canada, in 2012, and the Ph.D degree in electrical and computer engineering from the University of British Columbia, Vancouver, BC, Canada, in 2016.
He is currently a Postdoctoral Fellow with the University of ...View more
Author image of Laurence T. Yang
Department of Computer Science, St. Francis Xavier University, Antigonish, Canada
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Laurence T. Yang received the B.E. degree in computer science from Tsinghua University, Beijing, China, in 1992, and the Ph.D. degree in computer science from the University of Victoria, Victoria, BC, Canada, in 2006.
He is currently a Professor with University of Electronic Science and Technology of China and St. Francis Xavier University, Canada. He has authored or coauthored more than 300 papers in various refereed j...Show More
Laurence T. Yang received the B.E. degree in computer science from Tsinghua University, Beijing, China, in 1992, and the Ph.D. degree in computer science from the University of Victoria, Victoria, BC, Canada, in 2006.
He is currently a Professor with University of Electronic Science and Technology of China and St. Francis Xavier University, Canada. He has authored or coauthored more than 300 papers in various refereed j...View more
Author image of Zhikui Chen
School of Software Technology, Dalian University of Technology, Dalian, China
Zhikui Chen received the B.E. degree in mathematics from Chongqing Normal University, Chongqing, China, in 1990, and the Ph.D. degree in solid mechanics from Chongqing University, Chongqing, China, in 1998.
He is currently a Professor at Dalian University of Technology, Dalian, China. He has authored or coauthored more than 20 papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, an...Show More
Zhikui Chen received the B.E. degree in mathematics from Chongqing Normal University, Chongqing, China, in 1990, and the Ph.D. degree in solid mechanics from Chongqing University, Chongqing, China, in 1998.
He is currently a Professor at Dalian University of Technology, Dalian, China. He has authored or coauthored more than 20 papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, an...View more
Author image of Liang Zhao
School of Software Technology, Dalian University of Technology, Dalian, China
Liang Zhao received the B.E. degree in software engineering from Dalian University of Technology, Dalian, China, in 2011, where he is currently working toward the Ph.D. degree.
His research interests include big data and data mining.
Liang Zhao received the B.E. degree in software engineering from Dalian University of Technology, Dalian, China, in 2011, where he is currently working toward the Ph.D. degree.
His research interests include big data and data mining.View more
Author image of Peng Li
School of Software Technology, Dalian University of Technology, Dalian, China
Peng Li received the B.E. degree in electronic and information engineering from Dezhou University, Dezhou, China, in 2012. He is currently working toward the Ph.D. degree with Dalian University of Technology, Dalian, China.
His research interests include deep learning and big data.
Peng Li received the B.E. degree in electronic and information engineering from Dezhou University, Dezhou, China, in 2012. He is currently working toward the Ph.D. degree with Dalian University of Technology, Dalian, China.
His research interests include deep learning and big data.View more
Contents

I. Introduction

Over the last few years, with the rapid advances of sensing technologies and wireless communications, industrial Internet of Things (IoT) has made a great progress [1]. Industrial IoT is created by embedding smart electronics into production systems via a dynamic global information network. It is improving the effectiveness and efficiency of modern industrial production and applications. For example, industrial IoT enables condition monitoring, structural health monitoring, remote diagnosis, and remote control of production systems in real time. Furthermore, industrial IoT makes smart factories become possible for dynamically organizing and optimizing production processes [2].

Author image of Qingchen Zhang
Department of Computer Science, St. Francis Xavier University, Antigonish, Canada
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Qingchen Zhang received the Ph.D. degree in software engineering from Dalian University of Technology, Dalian, China, in 2015.
He is currently a Postdoctoral Fellow at St. Francis Xavier University, Antigonish, NS, Canada. He has authored or coauthored more than ten papers on the topics of big data computing, data mining, cloud computing, and deep learning, including papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, and the ACM Transactions on Multimedia Computing, Communication and Applications. His current research includes cloud computing, deep learning and big data.
Dr. Zhang served as a Program Chair of the 2015 IEEE Symposium on Smart Data and 2016 IEEE International Conference on Pervasive Intelligence and Computing. He is a Guest Editor of Mobile Information Systems special issue on Internet of Things and Sustainability special issue on Smart X for Sustainability.
Qingchen Zhang received the Ph.D. degree in software engineering from Dalian University of Technology, Dalian, China, in 2015.
He is currently a Postdoctoral Fellow at St. Francis Xavier University, Antigonish, NS, Canada. He has authored or coauthored more than ten papers on the topics of big data computing, data mining, cloud computing, and deep learning, including papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, and the ACM Transactions on Multimedia Computing, Communication and Applications. His current research includes cloud computing, deep learning and big data.
Dr. Zhang served as a Program Chair of the 2015 IEEE Symposium on Smart Data and 2016 IEEE International Conference on Pervasive Intelligence and Computing. He is a Guest Editor of Mobile Information Systems special issue on Internet of Things and Sustainability special issue on Smart X for Sustainability.View more
Author image of Chunsheng Zhu
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada
Chunsheng Zhu received the B.E. degree in network engineering from Dalian University of Technology, Dalian, China, in 2010, the M.Sc. degree in computer science from St. Francis Xavier University, Antigonish, NS, Canada, in 2012, and the Ph.D degree in electrical and computer engineering from the University of British Columbia, Vancouver, BC, Canada, in 2016.
He is currently a Postdoctoral Fellow with the University of British Columbia. He has authored more than 60 papers published in refereed journals and conferences, such as the IEEE Transactions on Industrial Electronics, the IEEE Transactions on Computers, and the IEEE Transactions on Information Forensics and Security. His current research interests include wireless sensor networks, cloud computing, Internet of Things, social networks, and security.
Chunsheng Zhu received the B.E. degree in network engineering from Dalian University of Technology, Dalian, China, in 2010, the M.Sc. degree in computer science from St. Francis Xavier University, Antigonish, NS, Canada, in 2012, and the Ph.D degree in electrical and computer engineering from the University of British Columbia, Vancouver, BC, Canada, in 2016.
He is currently a Postdoctoral Fellow with the University of British Columbia. He has authored more than 60 papers published in refereed journals and conferences, such as the IEEE Transactions on Industrial Electronics, the IEEE Transactions on Computers, and the IEEE Transactions on Information Forensics and Security. His current research interests include wireless sensor networks, cloud computing, Internet of Things, social networks, and security.View more
Author image of Laurence T. Yang
Department of Computer Science, St. Francis Xavier University, Antigonish, Canada
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Laurence T. Yang received the B.E. degree in computer science from Tsinghua University, Beijing, China, in 1992, and the Ph.D. degree in computer science from the University of Victoria, Victoria, BC, Canada, in 2006.
He is currently a Professor with University of Electronic Science and Technology of China and St. Francis Xavier University, Canada. He has authored or coauthored more than 300 papers in various refereed journals (around 40% on top IEEE/ACM Transactions and Journals). His research has been supported by the National Sciences and Engineering Research Council, and the Canada Foundation for Innovation. His research interests include parallel and distributed computing, embedded and ubiquitous/pervasive computing, and big data.
Laurence T. Yang received the B.E. degree in computer science from Tsinghua University, Beijing, China, in 1992, and the Ph.D. degree in computer science from the University of Victoria, Victoria, BC, Canada, in 2006.
He is currently a Professor with University of Electronic Science and Technology of China and St. Francis Xavier University, Canada. He has authored or coauthored more than 300 papers in various refereed journals (around 40% on top IEEE/ACM Transactions and Journals). His research has been supported by the National Sciences and Engineering Research Council, and the Canada Foundation for Innovation. His research interests include parallel and distributed computing, embedded and ubiquitous/pervasive computing, and big data.View more
Author image of Zhikui Chen
School of Software Technology, Dalian University of Technology, Dalian, China
Zhikui Chen received the B.E. degree in mathematics from Chongqing Normal University, Chongqing, China, in 1990, and the Ph.D. degree in solid mechanics from Chongqing University, Chongqing, China, in 1998.
He is currently a Professor at Dalian University of Technology, Dalian, China. He has authored or coauthored more than 20 papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, and other. His current research includes Internet of Things and big data.
Dr. Chen served as a General Program Chair of the 2015 IEEE Symposium on Smart Data and the 2016 International Conference on Smart X. He is an Associate Editor of the International Journal of Communication Systems .
Zhikui Chen received the B.E. degree in mathematics from Chongqing Normal University, Chongqing, China, in 1990, and the Ph.D. degree in solid mechanics from Chongqing University, Chongqing, China, in 1998.
He is currently a Professor at Dalian University of Technology, Dalian, China. He has authored or coauthored more than 20 papers in the IEEE Transactions on Computers, the IEEE Transactions on Services Computing, and other. His current research includes Internet of Things and big data.
Dr. Chen served as a General Program Chair of the 2015 IEEE Symposium on Smart Data and the 2016 International Conference on Smart X. He is an Associate Editor of the International Journal of Communication Systems .View more
Author image of Liang Zhao
School of Software Technology, Dalian University of Technology, Dalian, China
Liang Zhao received the B.E. degree in software engineering from Dalian University of Technology, Dalian, China, in 2011, where he is currently working toward the Ph.D. degree.
His research interests include big data and data mining.
Liang Zhao received the B.E. degree in software engineering from Dalian University of Technology, Dalian, China, in 2011, where he is currently working toward the Ph.D. degree.
His research interests include big data and data mining.View more
Author image of Peng Li
School of Software Technology, Dalian University of Technology, Dalian, China
Peng Li received the B.E. degree in electronic and information engineering from Dezhou University, Dezhou, China, in 2012. He is currently working toward the Ph.D. degree with Dalian University of Technology, Dalian, China.
His research interests include deep learning and big data.
Peng Li received the B.E. degree in electronic and information engineering from Dezhou University, Dezhou, China, in 2012. He is currently working toward the Ph.D. degree with Dalian University of Technology, Dalian, China.
His research interests include deep learning and big data.View more

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