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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Vydáno v:	Sensors (Basel, Switzerland) Ročník 20; číslo 3; s. 913
Hlavní autoři:	Anees, Junaid, Zhang, Hao-Chun, Baig, Sobia, Guene Lougou, Bachirou, Robert Bona, Thomas Gasim
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 08.02.2020 MDPI
Témata:	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
On-line přístup:	Získat plný text
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