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IJML 2012 Vol.2(4): 377-380
doi: 10.7763/IJMLC.2012.V2.148

Using Gravitational Search Algorithm for Finding Near-optimal Base Station Location in Two-Tiered WSNs

Marjan Kuchaki Rafsanjani* , Mohammad Bagher Dowlatshahi

  • Department of Computer Science, Shahid Bahonar University of Kerman. Kerman, Iran, Postal code:

* Corresponding author

Abstract

In designing the Wireless Sensor Networks (WSNs), the main issue is limited resource for each sensor. Hence, offering ways to optimize energy consumption in WSNs which eventually increases the network lifetime is strongly felt. In this paper, a Gravitational Search Algorithm (GSA) is proposed for finding nearly optimal Base Station (BS) location in two-tiered heterogeneous WSNs, where Application Nodes (ANs) may own different data transmission rates, initial energies and parameter values. Experimental results and comparisons with Particle Swarm Optimization (PSO) and Exhaustive Grid Search show the appropriate performance of our proposed approach.

Keywords

  • Gravitational search algorithm
  • two-tiered wireless sensor networks
  • base station location
  • energy consumption
  • network lifetime
148-C00593-R002

How to Cite

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Marjan Kuchaki Rafsanjani and Mohammad Bagher Dowlatshahi, "Using Gravitational Search Algorithm for Finding Near-optimal Base Station Location in Two-Tiered WSNs," International Journal of Machine Learning, vol. 2, no. 4, pp. 377-380, 2012. https://doi.org/10.7763/IJMLC.2012.V2.148

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD