Artificial hummingbird algorithm for cluster head selection in WSNs

Wireless sensor network is composed of hundreds to thousands of nodes called sensors. WSNs aresuccessfully applied to real world problems ranging from defence to civil applications. In this paper, wecompared various WSN techniques namely LEACH, ABC and PSO with proposed algorithm called Artificialhummingbird algorithm (AHA). Results show that AHA performed better than all other algorithms in termsof energy efficiency, alive nodes and Cluster head (CH) count.

@article{ijter2025212507262767,
  author = {Mayank Vij and Gagan Sharma},
  title = {Artificial hummingbird algorithm for cluster head selection in WSNs},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2025},
  volume = {1},
  number = {3},
  pages = {218-223},
  doi =  {10.64823/ijter.2503026},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212507262767/artificial-hummingbird-algorithm-for-cluster-head-selection-in-wsns},
  abstract = {Wireless sensor network is composed of hundreds to thousands of nodes called sensors. WSNs aresuccessfully applied to real world problems ranging from defence to civil applications. In this paper, wecompared various WSN techniques namely LEACH, ABC and PSO with proposed algorithm called Artificialhummingbird algorithm (AHA). Results show that AHA performed better than all other algorithms in termsof energy efficiency, alive nodes and Cluster head (CH) count.},
  keywords = {Artificial hummingbird Algorithm (AHA), Cluster Head (CH), Base station (BS)},
  month = {Jul},
}

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