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

Content Provider	IET Digital Library
Author	Sharma, Richa Vashisht, Vasudha Singh, Umang
Abstract	Efficient energy utilisation is a fundamental challenge that needs to be dealt with while deploying a wireless sensor network (WSN). These networks consist of thousands of small-sized battery-operated devices called sensors. Sensors are resource-constrained devices, and hence have very limited energy available with them. By lessening the energy usage of these nodes, the life span of the whole network can be enhanced up to a great extent. Clustering of WSNs is a speedily flourishing research area. In clustered WSNs, the major concerns are choosing an appropriate number of clusters and then selecting a coordinator node called cluster head (CH) within each formed cluster. This study introduces a hybrid energy-efficient clustering based on fuzzy C means and differential evolution algorithm (EEFCM-DE) based on fuzzy clustering and fuzzy-based evolutionary technique. The idea is to use FCM for the cluster creation and then selecting the best node as a CH within each cluster formed, by using an evolutionary technique DE. For the CH selection, the fitness of each node is calculated through a designed fuzzy inference system. The simulation results validate the energy-efficient performance of EEFCM-DE in comparison with the other existing algorithms.
Starting Page	996
Ending Page	1007
Page Count	12
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 8, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5546
Journal	IET Communications
Publisher Date	2019-01-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CH Selection Cluster Head Clustered WSN Coordinator Node Differential Evolution Algorithm EEFCM Energy Conservation Energy Usage Energy Utilisation Evolutionary Computation Fuzzy C Means Fuzzy Clustering Fuzzy Inference System Fuzzy Reasoning Fuzzy-based Evolutionary Technique Hybrid Energy-efficient Clustering Optimisation Technique Resource-constrained Device Sensor Placement Small-sized Battery-operated Device Telecommunication Power Management Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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