Life time enhancement of wireless Sensor Network using fuzzy c-means clustering algorithm

Pramod Kumar, Ashvini Chaturvedi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The major issues in wireless Sensor Networks (WSNs) are efficient uses of limited resources and appropriate routing of network paths under severely constrained energy scenarios. To overcome these issues; k-means and fuzzy c-means algorithms are investigated to form clusters and for subsequent selection of cluster heads. For all these clusters; selection of cluster head is done based on member sensor nodes residual energy status (RES) and estimation of Euclidean distances. Depending upon the Euclidean distance measure between the sink node and center of gravity of clusters; these clusters are classified into five types. Further, RES estimations are presented for cluster heads as well simple sensor network nodes.

Original languageEnglish
Title of host publication2014 International Conference on Electronics and Communication Systems, ICECS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479923205
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Electronics and Communication Systems, ICECS 2014 - Coimbatore, India
Duration: 13-02-201414-02-2014

Conference

Conference2014 International Conference on Electronics and Communication Systems, ICECS 2014
CountryIndia
CityCoimbatore
Period13-02-1414-02-14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Life time enhancement of wireless Sensor Network using fuzzy c-means clustering algorithm'. Together they form a unique fingerprint.

Cite this