Fuzzy dove swarm optimisation based mobile sink clustering routing protocol for wireless sensor network

Thousands of resource-constrained sensors work together in a wireless sensor network (WSN) to monitor their environment, gather data, and send it to distant servers for additional processing. Clustering is the most popular topology management technique in WSN, which groups nodes for administration and distributes task execution. The maintenance of energy efficiency in WSN is crucial. This paper introduces a new fuzzy dove swarm optimisation-mobile sink clustering routing (FDSO-MCR) method for the WSN model. The Cluster Head (CH) selection and mobile sink (MS) path identification techniques used by the FDSO algorithm are modelled after the foraging habits of doves in heterogeneous WSN. The nodes are clustered depending on the chosen CH from the FDSO method. It is proposed that several fitness criteria be investigated to ascertain the mobile path of the MS to BS. The MS sends all data to the Base Station using the best path. The suggested method is to collect data multi-hop with MS routing. The suggested algorithm is simulated using MATLABR2021a to compare to other methods. Simulations have used network lifetime, energy usage, BS packet receipts, packet delivery ratio (PDR), and end-to-end (E2E) Delay between routing techniques.