An energy‐efficient auto clustering framework for enlarging quality of service in Internet of Things‐enabled wireless sensor networks using fuzzy logic system-Reference-Cited by-同舟云学术

An energy‐efficient auto clustering framework for enlarging quality of service in Internet of Things‐enabled wireless sensor networks using fuzzy logic system

Published:2022-08-10 Issue:25 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Padmanaban Paruthi Ilam Vazhuthi¹^ORCID,Shanmugaperumal Periasamy Manikandan²,Aruchamy Prasanth³^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering V.R.S. College of Engineering and Technology Viluppuram Tamil Nadu India

2. Department of Computer Engineering New Horizon College of Engineering Bengaluru Karnataka India

3. Department of Electronics and Communication Engineering Sri Venkateswara College of Engineering Sriperumbudur Tamil Nadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7269

Reference35 articles.

1. An energy‐efficient blockchain approach for secure communication in IoT‐enabled electric vehicles

2. Secure decision tree twin support vector machine training and classification process for encrypted IoT data via blockchain platform

3. Multipath routing through the firefly algorithm and fuzzy logic in wireless sensor networks

4. An efficient clinical support system for heart disease prediction using TANFIS classifier

5. A hierarchical secure data aggregation method using the dragonfly algorithm in wireless sensor networks

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