Krill herd based clustering algorithm for wireless sensor networks

Md Shopon, Md Akhtaruzzaman Adnan, Md Firoz Mridha

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

3 Citations (Scopus)

Abstract

Wireless sensor networks are principally categorized by insufficient energy resource. Naturally, communication between the nodes is the utmost energy consuming act that they perform. Hence, development of a well-organized clustering algorithm can play a vital part in enhancing the lifetime of network. Currently, nature inspired methodologies are very common in dealing with it. This work presents a centralized approach that deals with energy-awareness of wireless sensor networks using the Krill Herd algorithm. The performance of the suggested algorithm is assessed with famous clustering protocols. The simulation results show that suggested approach can maximize sensor network lifetime over other algorithms of the same category.
Original languageEnglish
Title of host publication2016 International Workshop on Computational Intelligence (IWCI)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages96-100
Number of pages5
ISBN (Electronic)9781509057696
DOIs
Publication statusPublished - 13 Dec 2016
Externally publishedYes
EventInternational Workshop on Computational Intelligence (IWCI 2016) - Dhaka, Bangladesh
Duration: 12 Dec 201613 Dec 2016

Conference

ConferenceInternational Workshop on Computational Intelligence (IWCI 2016)
CountryBangladesh
CityDhaka
Period12/12/1613/12/16

Keywords

  • Clustering algorithm
  • Krill Herd
  • Network lifetime
  • Optimization
  • Swarm intelligence
  • Wireless sensor networks

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  • Cite this

    Shopon, M., Adnan, M. A., & Mridha, M. F. (2016). Krill herd based clustering algorithm for wireless sensor networks. In 2016 International Workshop on Computational Intelligence (IWCI) (pp. 96-100). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IWCI.2016.7860346