Evaluation of Energy Efficient Clustering Algorithms (E2CA) for Query Based WSNs

Pramod Kumar, Ashvini Chaturvedi

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

Abstract

The evolution of wireless communications has led to an increase in demand for connectivity through the wireless medium, this emphasises on the need for wireless sensor networks (WSNs) in modern day applications. WSNs are battery operated and have a limited lifetime, it is critical to employ energy-efficient strategies to operate the sensor network. Clustering of sensor nodes is an important factor which can affect the energy profile of the network. Two different clustering schemes, k means and fuzzy c means clustering schemes are used for formation and selection of CH for each cluster. These cluster heads are selected on the basis of two parameters, Euclidean distance between the nodes and cluster heads and the residual energy status (RES). The energy profile of nodes is studied to observe formation of islands and general energy consumption.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages16-19
Number of pages4
ISBN (Electronic)9781728137780
DOIs
Publication statusPublished - 12-2019
Event2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019 - Dubai, United Arab Emirates
Duration: 11-12-201912-12-2019

Publication series

NameProceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019

Conference

Conference2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
CountryUnited Arab Emirates
CityDubai
Period11-12-1912-12-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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    Kumar, P., & Chaturvedi, A. (2019). Evaluation of Energy Efficient Clustering Algorithms (E2CA) for Query Based WSNs. In Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019 (pp. 16-19). [9004332] (Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIKE47802.2019.9004332