EEFCM‐DE: energy‐efficient clustering based on fuzzy C means and differential evolution algorithm in WSNs-Reference-Cited by-同舟云学术

EEFCM‐DE: energy‐efficient clustering based on fuzzy C means and differential evolution algorithm in WSNs

Published:2019-05 Issue:8 Volume:13 Page:996-1007
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Sharma Richa¹,Vashisht Vasudha²,Singh Umang³

Affiliation:

1. Amity Institute of Information TechnologyAmity UniversityNoidaIndia

2. Amity School of Engineering & TechnologyAmity UniversityNoidaIndia

3. Institute of Technology & ScienceGhaziabadIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2018.5546

Reference34 articles.

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3. An application-specific protocol architecture for wireless microsensor networks

4. HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

5. JannuS. JanaP.K.: ‘Energy efficient unequal clustering and routing algorithms for wireless sensor networks’. Advances in Computing Communications and Informatics ICACCI Int. Conf. 2014 pp.2091–2097

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