The purpose of this research is to review the existing literature on clustering protocols in wireless sensor networks (WSNs) and to analyze the methodologies used to anticipate the position of mobile sinks in WSNs, as well as their limitations. As they move in a traffic pattern and collect data from sensor nodes, movable sinks have become more common in WSNs. Accurate mobile sink location prediction is crucial for developing effective routing algorithms and optimizing the data collection process. This chapter proposes the construction of a framework with an upgraded LEACH (low-energy adaptive clustering hierarchy) algorithm to solve the constraints of the original LEACH algorithm, such as the assumption of a static network and the inability to handle mobile sinks. The suggested framework also addresses the challenges of shorter lifetime after a specific number of rounds, the stability period, and the emphasis on single mobile sink prediction. The importance of the suggested architecture for increasing the performance of WSNs in terms of data gathering and routing is emphasized in this chapter.