Underwater Wireless Sensor Network MATLAB Code with Documentation

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lustering of nodes were done by Wolf optimization technique, algorithm is able to provide solution dynamic situation. Cluster nodes selection done on the basis of device energy, distance from the base station. The fitness of the cluster centre was determined by taking into account the distance between nodes and their energy levels. Routing of packet is also done from the nodes by means of cluster centers. In order to reduce the load of cluster nodes, shuffling of nodes were done time to time. Experiment was done on different environment of underwater and varying number of nodes.

 The lifespan of the network has been extended thanks to an improvement in the energy utilisation of the nodes. The clustering method based on Wolf has proven to be effective in increasing work efficiency. The fitness of the cluster centre was determined by taking into account the distance between nodes and their energy levels. Experiments were carried out on real datasets, and the results indicate that the suggested WUNO has led to an improvement in the In comparison to previous model, there will be a greater total number of rounds. In a similar fashion, the count of packet transfers was raised.

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