Wireless Sensor Networks(WSNs) are essential in diverse applications, spanning from environmental monitoring to industrial automation. Effectively managing energy consumption poses a significant challenge in WSNs, as sensor nodes are typically powered by limited energy sources such as batteries. Initially, we utilized the Honey Badger Algorithm to designate cluster heads. This method enables us to choose the optimal cluster head among all sensors, considering factors such as residual energy and node proximity. In this model, we use Maximum Cluster Size to avoid big clusters. The suggested frame work, Modified Low Energy Consuming Medium Access Control (M-LECMAC), reduces energy utilization by decreasing network communications, leading to an extended WSN lifetime. In four different layouts, the proposed M-LECMAC model is contrasted with two pre-existing models, LEACH and LECMAC. Experimental results reveal that M-LECMAC surpasses both LEACH and LECMAC in prolonging the network’s lifetime.