Energy efficient congestion control in wireless sensor networks using meta-heuristic algorithms Online publication date: Fri, 30-Jun-2023
by Abdul Ali; M. Vadivel
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 29, No. 4, 2023
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.
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