Congestion aware optimal routing path selection using hybrid meta heuristic algorithms in sparse wireless sensor networks Online publication date: Mon, 20-Jan-2025
by G. Mohan Ram; E. Ilavarasan
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 11, No. 2, 2024
Abstract: A novel energy-efficient clustering-based congestion-awareness routing mechanism has been developed for wireless sensor network (WSN). In the first stage, some set of sensor nodes are initialised in the WSN environment. The cluster is formed from the group of nodes by the advanced k-means clustering (A-KDC) model. The cluster head (CH) is selected based on some of the objective functions like distance, energy and so on using an exaggerated manta ray optimization algorithm (EXMro). The optimal routing selection has been formed to transmit the packet from source to destination. The packets are transferred from the CHs to the base station using hybrid Multi-objective May Honey Badger optimisation (MHB), which selects the optimal path without congestion. The performance of the proposed approach is examined using the NS2 platform. The proposed approach has an average throughput of 99.06% and an average packet delivery ratio (PDR) of 98.45%, indicating higher efficiency than other existing systems.
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