Three Swarm Intelligence Algorithms for Wireless Sensor Network Applications: A review

Authors

  • Himanshu Jahagirdar
  • Pratik Bobade
  • Vilas Dhuri

DOI:

https://doi.org/10.46243/jst.2020.v5.i6.pp80-86

Keywords:

Wireless Sensor Networks (WSNs), Stochastic Diffusion Search, Genetic Algorithm, Particle Swarm Optimization, LEACH

Abstract

Wireless Sensor Networks (WSNs) are increasingly realizing applications in IoT, smart grids, healthcare, security, swarm robotics, etc. Swarm Intelligence is used to optimize performance parameters associated with WSNs including localization, coverage, network lifetime, energy efficiency to name a few. The scope of this paper is restricted to a survey on Stochastic Diffusion Search, Genetic Algorithm and Particle Swarm Algorithm with respect to their organization and capacity to optimize these network parameters and their current as well as potential applications in WSNs.

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Published

2020-05-10

How to Cite

Himanshu Jahagirdar, Pratik Bobade, & Vilas Dhuri. (2020). Three Swarm Intelligence Algorithms for Wireless Sensor Network Applications: A review. Journal of Science & Technology (JST), 5(6), 80–89. https://doi.org/10.46243/jst.2020.v5.i6.pp80-86