Multiple mobile sinks have been included in wireless sensor networks (WSNs) to improve the EE of data collection and transfer in large-scale applications. Energy consumption (EC) is now an important study subject for sensor nodes to increase the network's lifespan. Many cluster-based and mobile sink scheduling strategies have been devised to improve energy efficiency (EE) in a WSN. Despite the many benefits of applying approaches, there are still several problems in various areas, such as data buffering and data queue, while delivering data to the base station. This research examines the efficacy of several scheduling-based energy-efficient routing methods for WSNs. These protocols are analyzed selectively based on the design, implementation, and deployment of the many mobile sinks in the WSN. In particular, the hierarchies of the mobile sink-based routing protocols Low Energy Adaptive Clustering hierarchy (LEACH), Ring Routing, and Spatial-Temporal Defined Multiple Mobile Sink Scheduling Framework towards Throughput Maximization and EC in WSN have been thoroughly analyzed. The simulation findings of these protocols validate the efficacy and efficiency of the examined EC strategy. Spatial-Temporal Defined Multiple Mobile Sink Scheduling Framework outperforms protocols; it has been determined.