Title: Energy efficient congestion control in wireless sensor networks using meta-heuristic algorithms

Authors: Abdul Ali; M. Vadivel

Addresses: Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India ' Electronics and Communication Engineering, Vidya Jyothi Instituite of Technology, Hyderabad, India

Abstract: A wireless sensor network (WSN) is an infrastructure-less wireless network that is used to monitor the physical or environmental conditions. In WSN, energy is the main constraint in congestion control that decreases the network's lifetime. This paper's main goal is to propose a novel clustering-based routing protocol to mitigate the congestion issue in the network and to maximise the lifespan of WSN. To control the congestion problem in WSN, an energy-efficient ultra scalable ensemble clustering is introduced in this paper. In addition, the flamingo search algorithm-based fuzzy inference system is applied for cluster head (CH) selection. Rat swarm optimisation is used to select the route between CH and BS. The experimental results demonstrated that the proposed methodology gives better results than the existing techniques and it enhances the energy efficiency of WSN. The residual energy of the proposed approach (5 J at 2,000 rounds) is greater than the existing methods.

Keywords: wireless sensor network; WSN; ultra-scalable ensemble clustering; flamingo search algorithm; FSA; rat swarm optimisation; RSO; cluster head selection.

DOI: 10.1504/IJCNDS.2023.131746

International Journal of Communication Networks and Distributed Systems, 2023 Vol.29 No.4, pp.448 - 473

Received: 04 Apr 2022
Accepted: 30 May 2022
Published online: 30 Jun 2023 *

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