Critical analysis of clustering algorithms for wireless sensor networks

Santar Pal Singh, Kartik Bhanot, Sugam Sharma

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

3 Citations (Scopus)

Abstract

The scientific and industrial community increased their attention on wireless sensor networks (WSNs) during the past few years. WSNs are used in various critical applications like disaster relief management, combat field reconnaissance, border protection, and security observation. In such applications a huge number of sensors are remotely deployed and have cooperatively worked in unaccompanied environments. The disjoint groups are formed from these sensor nodes and such nonoverlapping groups are known as clusters. Clustering schemes have proven to be effective to support scalability. In this paper, authors have reported a detailed analysis on clustering algorithms and have outlined the clustering schemes in WSNs. We also make a comparative analysis of clustering algorithms on the basis of different parameters like cluster stability, cluster overlapping, convergence time, failure recovery, and support for node mobility. Moreover, we highlight the various issues in clustering of WSNs.

Original languageEnglish
Title of host publicationProceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015
PublisherSpringer Verlag
Pages783-793
Number of pages11
ISBN (Print)9789811004476
DOIs
Publication statusPublished - 01-01-2016
Externally publishedYes
Event5th International Conference on Soft Computing for Problem Solving, SocProS 2015 - Roorkee, India
Duration: 18-12-201520-12-2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume436
ISSN (Print)2194-5357

Conference

Conference5th International Conference on Soft Computing for Problem Solving, SocProS 2015
CountryIndia
CityRoorkee
Period18-12-1520-12-15

Fingerprint

Clustering algorithms
Wireless sensor networks
Sensor nodes
Disasters
Scalability
Recovery
Sensors

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Singh, S. P., Bhanot, K., & Sharma, S. (2016). Critical analysis of clustering algorithms for wireless sensor networks. In Proceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015 (pp. 783-793). (Advances in Intelligent Systems and Computing; Vol. 436). Springer Verlag. https://doi.org/10.1007/978-981-10-0448-3_65
Singh, Santar Pal ; Bhanot, Kartik ; Sharma, Sugam. / Critical analysis of clustering algorithms for wireless sensor networks. Proceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015. Springer Verlag, 2016. pp. 783-793 (Advances in Intelligent Systems and Computing).
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Singh, SP, Bhanot, K & Sharma, S 2016, Critical analysis of clustering algorithms for wireless sensor networks. in Proceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015. Advances in Intelligent Systems and Computing, vol. 436, Springer Verlag, pp. 783-793, 5th International Conference on Soft Computing for Problem Solving, SocProS 2015, Roorkee, India, 18-12-15. https://doi.org/10.1007/978-981-10-0448-3_65

Critical analysis of clustering algorithms for wireless sensor networks. / Singh, Santar Pal; Bhanot, Kartik; Sharma, Sugam.

Proceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015. Springer Verlag, 2016. p. 783-793 (Advances in Intelligent Systems and Computing; Vol. 436).

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

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Singh SP, Bhanot K, Sharma S. Critical analysis of clustering algorithms for wireless sensor networks. In Proceedings of 5th International Conference on Soft Computing for Problem Solving - SocProS 2015. Springer Verlag. 2016. p. 783-793. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-10-0448-3_65