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A novel bacterial colony optimisation-based cluster head selection method for the internet of things

Author

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  • C. Bala Subramanian
  • R. Ramkumar

Abstract

The expanding usage of smart environments has drawn academics' attention to the internet of things (IoT), which is continually evolving. An optimal cluster head (CH) control how much power is used by the cluster's components, extending the battery life of those components and grouping them into manageable clusters that support network expansion. An optimal CH in the IoT network is selected using bacterial colony optimisation (BCO) to optimise energy usage. The suggested BCO has great search effectiveness and dynamic capabilities, extending the lifetime of sensor nodes (SNs). The number of alive nodes, throughput, and residual energy are used to evaluate the ability of the proposed BCO. The suggested BCO method is compared with several cutting-edge approaches and the outcomes demonstrate the suggested novel BCO approach's superiority to already-existing techniques.

Suggested Citation

  • C. Bala Subramanian & R. Ramkumar, 2024. "A novel bacterial colony optimisation-based cluster head selection method for the internet of things," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 30(4), pages 366-386.
    • Handle: RePEc:ids:ijnvor:v:30:y:2024:i:4:p:366-386
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