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

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
Main Authors: Junaid Anees, Hao-Chun Zhang, Sobia Baig, Bachirou Guene Lougou, Thomas Gasim Robert Bona
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
hesitant fuzzy entropy
heterogeneous clustering
wireless sensor networks
opportunistic routing
multi-attribute decision modeling
data fusion
Online Access:https://www.mdpi.com/1424-8220/20/3/913

Internet

https://www.mdpi.com/1424-8220/20/3/913

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