Wireless Sensor Network (WSN) is growing emencly in this cutting-edge automation world that consist of Sensor Nodes with its sensing unit, transceiver,microcontroller and a current unit that sense, monitor & manage the environment conditions. The static & dynamic positioning of sensors do communicate wirelessly with its adhoc configurations for analysis, processing, storing and retrieving as when required. However, the limitations of sensors devices are its transmission range that can transmit maximum range of 100 meters. The primary monitoring parameters of sensors are humidity, temperature, wind direction and speed, pressure, sound & vibration intensity to the levels of pollutant and vital body functions. Each individual sensor with its equipped transceiver, transducer, microcomputer and Current source where the electrical signals are generated by transducer from the sensed environment whereas the microcontroller executes and saves the sensor output. The adoption of clustering technique that groups sensor nodes by forming clusters and selects cluster heads among clusters thereby each cluster communicates among the nodes to execute through the cluster head. The nodes consumes more energy while sending data to the single sink led to adoption of multiple sink. The multiple sink strategy balances energy usage while also lengthening network longevity. This strategy uses heterogeneous wireless sensor networks with more homogenous sensor nodes to create a more durable network that can manage sensor nodes with diverse capabilities, such as disparate computing Both strength and detecting spans are employed. The combination of both approaches increases the stability and energy efficiency of random networks. This review paper analyses the classifications of different clustering protocols as well as measures the similarity and dissimilarity and examine the future applicable design factors and scope of improvement can be infused in the proposed solutions.This proposed solutions will guide a prototyper to develop a new efficient energy oriented clustering solutions that can strengthen the Network further.