Wireless sensor networks (WSNs) have been around for a while, but they are finding new applications in areas as varied as medicine, first aid, and environmental study. Low channel capacities, low energy reserves, and short lifetimes characterize such networks. Given the enormous impact communication costs have on node power consumption, bandwidth is the most significant hurdle for these systems. Reducing energy consumption in WSNs is a top priority, and clustering has been widely employed to achieve this goal. To make the WSN head election protocol more power efficient, we introduced the MGC2 method. A latent awakening algorithm and cluster selection are used in the proposed method. Simulations showed that MGC2 has the potential to extend the time before the first Node in a sensor field fails, making the system more durable and dependable than its predecessors.