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A Modified Firefly Swarm Optimization Technique to Improve the Efficiency of Underwater Wireless Sensor Networks

  • A. M. Viswa Bharathy
  • V. ChandrasekarEmail author
  • D. Sujatha
Conference paper
First Online:
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)

Abstract

The sensor nodes in UWSNs do not remain within the confined zone due to water currents. The sensor nodes have to be clustered in order to enable them to send and receive the collected data in their deployed environment. Clustering of sensor nodes helps the network in reducing transmission time. A grouping algorithm derived from the firefly swarm optimization (FSO) is tested to improve the stability and proximity of the underwater wireless sensor networks (UWSNs). The firefly algorithm helps in keeping the sensor nodes intact and produces fewer failures in network connectivity. The simulation results are convincing, and the same has been given at the end.

Keywords

Clustering Firefly Stability Sensor networks Optimization 
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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • A. M. Viswa Bharathy
    • 1
  • V. Chandrasekar
    • 2
    Email author
  • D. Sujatha
    • 2
  1. 1.Department of CSEJyothishmathi Institute of Technology and ScienceKarimnagarIndia
  2. 2.Department of CSEMalla Reddy College of Engineering and TechnologyHyderabadIndia

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