Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications

Authors

  • Roshnee Adlak
  • Pooja Meena

DOI:

https://doi.org/10.24113/ijoscience.v7i8.409

Keywords:

Internet of Things (IoT), Wireless Sensor Network, Optimization, Energy Efficiency.

Abstract

With the growth of wireless sensor networks (WSN), new technologies like the Internet-of-Things (IoT) are being created. There may be challenges that come because when implementing these application areas in practice. The primary issue is energy utilization while data transmission between these resource restricted sensors. In this work, we present a cluster-based routing protocol for IoT to anticipate energy utilization. Furthermore, for cluster head selection and cluster updation, we presented a multi-population ensemble particle swarm optimizer. The simulation was carried out using the MATLAB platform and demonstrates its superiority over different approaches.

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Author Biographies

Roshnee Adlak

M.Tech Scholar

Department of Computer Science and Engineering

 Radharaman Institute of Technology & Science

Bhopal, Madhya Pradesh, India

Pooja Meena

Assistant Professor

Department of Computer Science and Engineering

Radharaman Institute of Technology & Science

Bhopal, Madhya Pradesh India

References

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Published

08/28/2021

How to Cite

Adlak, R. ., & Meena, P. . (2021). Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications. SMART MOVES JOURNAL IJOSCIENCE, 7(8), 81–85. https://doi.org/10.24113/ijoscience.v7i8.409

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Articles