Hesitant Fuzzy Entropy-Based Opportunistic Clustering and Data Fusion Algorithm for Heterogeneous Wireless Sensor Networks

Limited energy resources of sensor nodes in Wireless Sensor Networks (WSNs) make energy consumption the most significant problem in practice. This paper proposes a novel, dynamic, self-organizing Hesitant Fuzzy Entropy-based Opportunistic Clustering and data fusion Scheme (HFECS) in order to overcom...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 20; no. 3; p. 913
Main Authors:	Anees, Junaid, Zhang, Hao-Chun, Baig, Sobia, Guene Lougou, Bachirou, Robert Bona, Thomas Gasim
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 08.02.2020 MDPI
Subjects:	Algorithms Clustering Communication data fusion Decision making Energy consumption Energy efficiency Fuzzy sets hesitant fuzzy entropy heterogeneous clustering multi-attribute decision modeling opportunistic routing Probability distribution Random variables Sensors Wireless networks wireless sensor networks data fusion opportunistic routing wireless sensor networks heterogeneous clustering multi-attribute decision modeling hesitant fuzzy entropy
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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