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

Authors: C. Bala Subramanian; R. Ramkumar

Addresses: Department of CSE, Kalasalingam Academy of Research and Education (Deemed to be University), Anand Nagar, Krishnankoil – 626126, India ' Department of CSE, Kalasalingam Academy of Research and Education (Deemed to be University), Anand Nagar, Krishnankoil – 626126, India

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.

Keywords: internet of things; IoT; energy efficient; bacterial colony optimisation; BCO; wireless sensor network; cluster head selection.

DOI: 10.1504/IJNVO.2024.140222

International Journal of Networking and Virtual Organisations, 2024 Vol.30 No.4, pp.366 - 386

Received: 14 Oct 2023
Accepted: 13 Apr 2024
Published online: 30 Jul 2024 *

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