An hybrid clustering algorithm for optimal clusters in Wireless sensor networks

Kumar, Gaurav; Mehra, Himanshu; Seth, Akshat R.; Radhakrishnan, Pooja; Hemavathi, N.; Selvaraj, S.

doi:10.1109/sceecs.2014.6804442

Cited by 33 publications

(19 citation statements)

References 7 publications

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“…In [98], the authors proposed a ‘hierarchical agglomerative clustering’ and ‘ k ‐means’ algorithm to generate an optimum number of clusters and CHs.…”

Section: Tutorial On Evolution Of Clustering Approachesmentioning

confidence: 99%

Survey on fault tolerance‐based clustering evolution in WSN

Mohapatra

Rath

2020

IET Networks

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Ongoing research on remote communication and sensing essentially made accessible the flexible technology called 'wireless sensor network (WSN)', which is independent, self-organising and self-healing in nature. The WSN comprises an extensive number of homogeneous or heterogeneous sensor nodes that may be deployed in a uniform or non-uniform manner in a targeted zone. The organisation of WSN can be stretched out from residential to a harsh and hostile environment. The manageability of WSN is very subjective to an efficient adaptation to the failure situations. In this line of thought, clustering has been proven as an efficient strategy for prolonging the sensor network lifetime and selecting the correct topological structure for the sensor network. The authors' first present a survey of existing survey works from 2002 to 2019 and then present a tutorial on existing fault-tolerant protocols with a comparative analysis. The target audience of this work is novice researchers in the field of WSN to get a preliminary idea about clustering and its objective.

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“…In [98], the authors proposed a ‘hierarchical agglomerative clustering’ and ‘ k ‐means’ algorithm to generate an optimum number of clusters and CHs.…”

Section: Tutorial On Evolution Of Clustering Approachesmentioning

confidence: 99%

Survey on fault tolerance‐based clustering evolution in WSN

Mohapatra

Rath

2020

IET Networks

View full text Add to dashboard Cite

show abstract

“…Studies [9,[13][14][15] all applied HAC in WSN clustering. Moreover, a hybrid technique that combines both HAC and K-means advantages can be found in [20].…”

Section: Related Workmentioning

confidence: 99%