Multiple Parameter Based Clustering (MPC): Prospective Analysis for Effective Clustering in Wireless Sensor Network (WSN) Using K-Means Algorithm

Home > Journals > Computer Science & Communications >WSN

ISSN Print: 1945-3078
ISSN Online: 1945-3086

Website: https://www.scirp.org/journal/wsn
E-mail: wsn@scirp.org

Citations h5-index & Ranking

Submission

"Multiple Parameter Based Clustering (MPC): Prospective Analysis for Effective Clustering in Wireless Sensor Network (WSN) Using K-Means Algorithm"
written by Md. Asif Khan, Israfil Tamim, Emdad Ahmed, M. Abdul Awal,
published by Wireless Sensor Network, Vol.4 No.1, 2012

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	X-means Clustering for Wireless Sensor Networks
	2020

[2]	Unequal Energy Aware Secure Clustering Technique for Wireless Sensor Network
	2019

[3]	Multi-objective Hybrid Fuzzified PSO and Fuzzy C-Means Algorithm for Clustering CDR Data
	2019

[4]	EEC-FM: Energy Efficient Clustering based on Firefly and Midpoint Algorithms in Wireless Sensor Network
	2018

[5]	A light weight clustering mechanism for WSAN
	International Journal of Applied Engineering Research [IJAER], 2018

[6]	EEC-FM: Energy Efficient Clustering based on Firefly and Midpoint Algorithms in Wireless Sensor Network.
	2018

[7]	A Dynamic Clustering Approach for Maximizing Scalability in Wireless Sensor Networ
	2017

[8]	Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network
	IET Wireless Sensor Systems, 2016

[9]	A key storage and path key efficient diagonal-based grouping for wireless sensor network
	2016

[10]	CBA
	Ad Hoc Networks, 2016

[11]	Extending Lifetime and Optimizing Energy of Wireless Sensor Network using Hybrid Clustering Algorithms
	2015

[12]	Evolving clustering algorithms for wireless sensor networks with various radiation patterns to reduce energy consumption
	Science and Information Conference (SAI), 2015, 2015

[13]	A Review: An Improved K-means Clustering Technique in WSN
	2014

[14]	Wireless sensor network routing protocols for data aggregation
	2014

[15]	Image Segmentation Using Modified K-Means Algorithm and JSEG Method
	International Journal Of Engineering And Computer Science, 2014

[16]	Data Aggregation Using Genetic Algorithm in Wireless Sensor Network
	INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH (IJESRT), 2013

[17]	Optimization Algorithm for Wireless Sensor Networks using K-means and Evolutionary Algorithm
	2013

[18]	An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks
	International Journal of Information Technology and Web Engineering (IJITWE), 2013

[1]	Inventive Computation Technologies Lecture Notes in Networks and Systems, 2020 DOI:10.1007/978-3-030-33846-6_4

[2]	Multi-objective Hybrid Fuzzified PSO and Fuzzy C-Means Algorithm for Clustering CDR Data 2019 International Conference on Communication and Signal Processing (ICCSP), 2019 DOI:10.1109/ICCSP.2019.8698080

[3]	CBA: A cluster-based client/server data aggregation routing protocol Ad Hoc Networks, 2016 DOI:10.1016/j.adhoc.2016.05.009

[4]	Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network IET Wireless Sensor Systems, 2016 DOI:10.1049/iet-wss.2015.0087

[5]	Evolving clustering algorithms for wireless sensor networks with various radiation patterns to reduce energy consumption 2015 Science and Information Conference (SAI), 2015 DOI:10.1109/SAI.2015.7237270

[6]	An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks International Journal of Information Technology and Web Engineering, 2013 DOI:10.4018/ijitwe.2013070104