Energy aware multilevel clustering scheme with Wake-Up Sleep Algorithm in underwater wireless sensor networks

Abstract

For a wide range of reasons, researchers are interested in underwater wireless sensor networks (UWSNs). These include water quality and environment monitoring, disaster and earthquake prediction, surveillance by the military, and underwater navigation. Nevertheless, there are a lot of drawbacks and difficulties that come with the aquatic medium, including a high multipath delay, high levels of interference and noise, a harsh atmosphere, poor bandwidth, and short battery life for the sensor nodes. Yet, there are several obstacles to the successful deployment of underwater wireless sensor networks. The issue of sensor node energy depletion is the main cause of concern in the underwater sensor network. These problems require the use of good research methodologies and strategies to solve them. In this study, an Energy-Aware Multilevel Clustering with Wake-up Sleep Algorithm is developed to prolong the lifespan of the underwater wireless sensor network. The oceanic network region is thought to be a series of multi-level, 3D cylinders. High water pressure directed at the sea floor creates communication problems that are resolved by many layers of differing heights. The effectiveness of the suggested method is demonstrated by simulations, which demonstrate that it performs better in terms of an extended network lifespan, average residual energy, and many more factors. In comparison to the results of the simulation with current ones, the network lifespan has significantly increased.