Currently, there has been a lot of focus on finding ways for minimizing the consumption of energy over "Wireless Sensor Networks (WSNs)" deployed for surveillance and management. More research and concrete initiatives are required to slow the velocity at which energy is being used up in these WSNs, which typically incorporate rechargeable batteries in the "Sensor Node (SN)". With a sequence of this research, we suggest a new protocol for WSN called "Advanced Optimized Sleep-Scheduler (AOSS)" that uses "Cluster Aggregation (CA)" for minimizing the consumption of energy. The "Time Division Multiple Access (TDMA)" acts as a wake-up scheduler of the "Medium Access Control (MAC)" layer been designed to provide the maximum system throughput and lower energy usage. Every SN merely awakens twice every timeframe, first to receive the input from a neighboring SN and again to transmit information to the "Base Station (BS)", to save power. As soon as the BS comes available, it would wait for the "SYN" signal and then, whether it receives the proper "ACK" in response, will begin transmitting information to the originator SN. In addition, the "Probability Identification (PI)" with "Sleep-Scheduler (SS)" strategy for reducing SN energy consumption after awakening is deployed. The frequency of awoken SNs inside an active zone would be constrained to reach the goal of SNs having a lower probability and outside of communication range. In this case, the probabilities associated with the target's regime in many sorts of directions are used to choose which woken SN to select. The distance between an awoke SN, as well as the alerting SN, is used to calculate the size of the awakened areas. This allows for effective schedule allotment among states, which reduces unnecessary energy usage. The proposed integrated scheduling method also contributes to lowering the overall cost of energy. Furthermore, we minimize the frequency of woken SN to minimize power usage. We evaluate and compare the capabilities offered by the developed AOSS protocol with those of the current E-BEENISH, DOR, and PAHCR protocols inside WSN, taking into account performance measures including "Energy Efficiency", "Packet Delivery Ratio", "Throughput", and "Routing Overhead".